id	sid	tid	token	lemma	pos
fcis-32169	1	1	frontiers	frontier	NOUN
fcis-32169	1	2	in	in	ADP
fcis-32169	1	3	computing	computing	NOUN
fcis-32169	1	4	and	and	CCONJ
fcis-32169	1	5	intelligent	intelligent	ADJ
fcis-32169	1	6	systems	system	NOUN
fcis-32169	1	7	issn	issn	VERB
fcis-32169	1	8	:	:	PUNCT
fcis-32169	1	9	2832	2832	NUM
fcis-32169	1	10	-	-	SYM
fcis-32169	1	11	6024	6024	NUM
fcis-32169	1	12	|	|	NOUN
fcis-32169	1	13	vol	vol	NOUN
fcis-32169	1	14	.	.	PUNCT
fcis-32169	2	1	14	14	NUM
fcis-32169	2	2	,	,	PUNCT
fcis-32169	2	3	no	no	INTJ
fcis-32169	2	4	.	.	NOUN
fcis-32169	2	5	1	1	NUM
fcis-32169	2	6	,	,	PUNCT
fcis-32169	2	7	2025	2025	NUM
fcis-32169	2	8	59	59	NUM
fcis-32169	2	9	multimodal	multimodal	NOUN
fcis-32169	2	10	depression	depression	NOUN
fcis-32169	2	11	recognition	recognition	NOUN
fcis-32169	2	12	based	base	VERB
fcis-32169	2	13	on	on	ADP
fcis-32169	2	14	sentence	sentence	NOUN
fcis-32169	2	15	-	-	PUNCT
fcis-32169	2	16	level	level	NOUN
fcis-32169	2	17	dynamic	dynamic	ADJ
fcis-32169	2	18	multimodal	multimodal	NOUN
fcis-32169	2	19	split	split	VERB
fcis-32169	2	20	attention	attention	NOUN
fcis-32169	2	21	fusion	fusion	NOUN
fcis-32169	2	22	mingyang	mingyang	PROPN
fcis-32169	2	23	sun	sun	PROPN
fcis-32169	2	24	1	1	NUM
fcis-32169	2	25	,	,	PUNCT
fcis-32169	2	26	shukui	shukui	NOUN
fcis-32169	2	27	ma	ma	PROPN
fcis-32169	2	28	2	2	PROPN
fcis-32169	2	29	,	,	PUNCT
fcis-32169	2	30	guangping	guangpe	VERB
fcis-32169	2	31	zhuo	zhuo	PROPN
fcis-32169	2	32	1	1	NUM
fcis-32169	2	33	,	,	PUNCT
fcis-32169	2	34	fei	fei	PROPN
fcis-32169	2	35	ma	ma	PROPN
fcis-32169	2	36	3	3	PROPN
fcis-32169	2	37	and	and	CCONJ
fcis-32169	2	38	guanghua	guanghua	PROPN
fcis-32169	2	39	zhang	zhang	PROPN
fcis-32169	2	40	3	3	NUM
fcis-32169	2	41	,	,	PUNCT
fcis-32169	2	42	*	*	PUNCT
fcis-32169	2	43	1	1	NUM
fcis-32169	2	44	school	school	NOUN
fcis-32169	2	45	of	of	ADP
fcis-32169	2	46	computer	computer	NOUN
fcis-32169	2	47	science	science	NOUN
fcis-32169	2	48	and	and	CCONJ
fcis-32169	2	49	technology	technology	NOUN
fcis-32169	2	50	,	,	PUNCT
fcis-32169	2	51	taiyuan	taiyuan	PROPN
fcis-32169	2	52	normal	normal	ADJ
fcis-32169	2	53	university	university	PROPN
fcis-32169	2	54	,	,	PUNCT
fcis-32169	2	55	jinzhong	jinzhong	PROPN
fcis-32169	2	56	shanxi	shanxi	PROPN
fcis-32169	2	57	,	,	PUNCT
fcis-32169	2	58	030619	030619	NUM
fcis-32169	2	59	,	,	PUNCT
fcis-32169	2	60	china	china	PROPN
fcis-32169	2	61	2	2	NUM
fcis-32169	2	62	department	department	NOUN
fcis-32169	2	63	of	of	ADP
fcis-32169	2	64	information	information	NOUN
fcis-32169	2	65	,	,	PUNCT
fcis-32169	2	66	the	the	DET
fcis-32169	2	67	985	985	NUM
fcis-32169	2	68	hospital	hospital	NOUN
fcis-32169	2	69	of	of	ADP
fcis-32169	2	70	logistics	logistic	NOUN
fcis-32169	2	71	support	support	NOUN
fcis-32169	2	72	forces	force	NOUN
fcis-32169	2	73	of	of	ADP
fcis-32169	2	74	chinese	chinese	ADJ
fcis-32169	2	75	pla	pla	PROPN
fcis-32169	2	76	,	,	PUNCT
fcis-32169	2	77	taiyuan	taiyuan	PROPN
fcis-32169	2	78	shanxi	shanxi	PROPN
fcis-32169	2	79	,	,	PUNCT
fcis-32169	2	80	030001	030001	NUM
fcis-32169	2	81	,	,	PUNCT
fcis-32169	2	82	china	china	PROPN
fcis-32169	2	83	3	3	NUM
fcis-32169	2	84	department	department	NOUN
fcis-32169	2	85	of	of	ADP
fcis-32169	2	86	computer	computer	NOUN
fcis-32169	2	87	science	science	NOUN
fcis-32169	2	88	and	and	CCONJ
fcis-32169	2	89	technology	technology	NOUN
fcis-32169	2	90	,	,	PUNCT
fcis-32169	2	91	taiyuan	taiyuan	PROPN
fcis-32169	2	92	university	university	PROPN
fcis-32169	2	93	,	,	PUNCT
fcis-32169	2	94	taiyuan	taiyuan	PROPN
fcis-32169	2	95	shanxi	shanxi	PROPN
fcis-32169	2	96	,	,	PUNCT
fcis-32169	2	97	030032	030032	NUM
fcis-32169	2	98	,	,	PUNCT
fcis-32169	2	99	china	china	PROPN
fcis-32169	2	100	*	*	PUNCT
fcis-32169	2	101	corresponding	correspond	VERB
fcis-32169	2	102	author	author	NOUN
fcis-32169	2	103	:	:	PUNCT
fcis-32169	2	104	guanghua	guanghua	PROPN
fcis-32169	2	105	zhang	zhang	PROPN
fcis-32169	2	106	abstract	abstract	PROPN
fcis-32169	2	107	:	:	PUNCT
fcis-32169	2	108	depression	depression	NOUN
fcis-32169	2	109	is	be	AUX
fcis-32169	2	110	a	a	DET
fcis-32169	2	111	common	common	ADJ
fcis-32169	2	112	yet	yet	CCONJ
fcis-32169	2	113	highly	highly	ADV
fcis-32169	2	114	covert	covert	ADJ
fcis-32169	2	115	mental	mental	ADJ
fcis-32169	2	116	disorder	disorder	NOUN
fcis-32169	2	117	,	,	PUNCT
fcis-32169	2	118	making	make	VERB
fcis-32169	2	119	the	the	DET
fcis-32169	2	120	development	development	NOUN
fcis-32169	2	121	of	of	ADP
fcis-32169	2	122	efficient	efficient	ADJ
fcis-32169	2	123	intelligent	intelligent	ADJ
fcis-32169	2	124	recognition	recognition	NOUN
fcis-32169	2	125	methods	method	NOUN
fcis-32169	2	126	crucial	crucial	ADJ
fcis-32169	2	127	for	for	ADP
fcis-32169	2	128	early	early	ADJ
fcis-32169	2	129	screening	screening	NOUN
fcis-32169	2	130	and	and	CCONJ
fcis-32169	2	131	clinical	clinical	ADJ
fcis-32169	2	132	diagnostic	diagnostic	ADJ
fcis-32169	2	133	support	support	NOUN
fcis-32169	2	134	.	.	PUNCT
fcis-32169	3	1	existing	exist	VERB
fcis-32169	3	2	multimodal	multimodal	NOUN
fcis-32169	3	3	depression	depression	NOUN
fcis-32169	3	4	recognition	recognition	NOUN
fcis-32169	3	5	approaches	approach	NOUN
fcis-32169	3	6	still	still	ADV
fcis-32169	3	7	face	face	VERB
fcis-32169	3	8	limitations	limitation	NOUN
fcis-32169	3	9	in	in	ADP
fcis-32169	3	10	modal	modal	ADJ
fcis-32169	3	11	interaction	interaction	NOUN
fcis-32169	3	12	and	and	CCONJ
fcis-32169	3	13	long	long	ADJ
fcis-32169	3	14	-	-	PUNCT
fcis-32169	3	15	sequence	sequence	NOUN
fcis-32169	3	16	semantic	semantic	ADJ
fcis-32169	3	17	modeling	modeling	NOUN
fcis-32169	3	18	,	,	PUNCT
fcis-32169	3	19	struggling	struggle	VERB
fcis-32169	3	20	to	to	PART
fcis-32169	3	21	fully	fully	ADV
fcis-32169	3	22	capture	capture	VERB
fcis-32169	3	23	local	local	ADJ
fcis-32169	3	24	dynamics	dynamic	NOUN
fcis-32169	3	25	and	and	CCONJ
fcis-32169	3	26	cross	cross	ADJ
fcis-32169	3	27	-	-	ADJ
fcis-32169	3	28	modal	modal	ADJ
fcis-32169	3	29	dependencies	dependency	NOUN
fcis-32169	3	30	.	.	PUNCT
fcis-32169	4	1	to	to	PART
fcis-32169	4	2	address	address	VERB
fcis-32169	4	3	this	this	PRON
fcis-32169	4	4	,	,	PUNCT
fcis-32169	4	5	this	this	DET
fcis-32169	4	6	study	study	NOUN
fcis-32169	4	7	proposes	propose	VERB
fcis-32169	4	8	a	a	DET
fcis-32169	4	9	multimodal	multimodal	ADJ
fcis-32169	4	10	temporal	temporal	ADJ
fcis-32169	4	11	fusion	fusion	NOUN
fcis-32169	4	12	network	network	NOUN
fcis-32169	4	13	.	.	PUNCT
fcis-32169	5	1	this	this	DET
fcis-32169	5	2	approach	approach	NOUN
fcis-32169	5	3	first	first	ADV
fcis-32169	5	4	divides	divide	VERB
fcis-32169	5	5	long	long	ADJ
fcis-32169	5	6	medical	medical	ADJ
fcis-32169	5	7	interview	interview	NOUN
fcis-32169	5	8	sequences	sequence	NOUN
fcis-32169	5	9	into	into	ADP
fcis-32169	5	10	sentence	sentence	NOUN
fcis-32169	5	11	-	-	PUNCT
fcis-32169	5	12	level	level	NOUN
fcis-32169	5	13	units	unit	NOUN
fcis-32169	5	14	based	base	VERB
fcis-32169	5	15	on	on	ADP
fcis-32169	5	16	timestamps	timestamp	NOUN
fcis-32169	5	17	to	to	PART
fcis-32169	5	18	mitigate	mitigate	VERB
fcis-32169	5	19	information	information	NOUN
fcis-32169	5	20	dilution	dilution	NOUN
fcis-32169	5	21	in	in	ADP
fcis-32169	5	22	lengthy	lengthy	ADJ
fcis-32169	5	23	sequences	sequence	NOUN
fcis-32169	5	24	.	.	PUNCT
fcis-32169	6	1	subsequently	subsequently	ADV
fcis-32169	6	2	,	,	PUNCT
fcis-32169	6	3	it	it	PRON
fcis-32169	6	4	designs	design	VERB
fcis-32169	6	5	a	a	DET
fcis-32169	6	6	sentence	sentence	NOUN
fcis-32169	6	7	-	-	PUNCT
fcis-32169	6	8	level	level	NOUN
fcis-32169	6	9	dynamic	dynamic	ADJ
fcis-32169	6	10	multimodal	multimodal	NOUN
fcis-32169	6	11	attention	attention	NOUN
fcis-32169	6	12	fusion	fusion	NOUN
fcis-32169	6	13	module	module	NOUN
fcis-32169	6	14	.	.	PUNCT
fcis-32169	7	1	this	this	DET
fcis-32169	7	2	module	module	NOUN
fcis-32169	7	3	further	further	ADJ
fcis-32169	7	4	segments	segment	NOUN
fcis-32169	7	5	sentence	sentence	VERB
fcis-32169	7	6	sequences	sequence	NOUN
fcis-32169	7	7	into	into	ADP
fcis-32169	7	8	contiguous	contiguous	ADJ
fcis-32169	7	9	segments	segment	NOUN
fcis-32169	7	10	and	and	CCONJ
fcis-32169	7	11	adaptively	adaptively	ADV
fcis-32169	7	12	emphasizes	emphasize	VERB
fcis-32169	7	13	key	key	ADJ
fcis-32169	7	14	modal	modal	NOUN
fcis-32169	7	15	features	feature	NOUN
fcis-32169	7	16	while	while	SCONJ
fcis-32169	7	17	suppressing	suppress	VERB
fcis-32169	7	18	redundant	redundant	ADJ
fcis-32169	7	19	and	and	CCONJ
fcis-32169	7	20	noisy	noisy	ADJ
fcis-32169	7	21	information	information	NOUN
fcis-32169	7	22	through	through	ADP
fcis-32169	7	23	dynamic	dynamic	ADJ
fcis-32169	7	24	weight	weight	NOUN
fcis-32169	7	25	allocation	allocation	NOUN
fcis-32169	7	26	.	.	PUNCT
fcis-32169	8	1	on	on	ADP
fcis-32169	8	2	the	the	DET
fcis-32169	8	3	public	public	ADJ
fcis-32169	8	4	dataset	dataset	VERB
fcis-32169	8	5	daic	daic	PROPN
fcis-32169	8	6	-	-	PUNCT
fcis-32169	8	7	woz	woz	PROPN
fcis-32169	8	8	and	and	CCONJ
fcis-32169	8	9	the	the	DET
fcis-32169	8	10	self	self	NOUN
fcis-32169	8	11	-	-	PUNCT
fcis-32169	8	12	built	build	VERB
fcis-32169	8	13	chinese	chinese	ADJ
fcis-32169	8	14	dataset	dataset	NOUN
fcis-32169	8	15	mdd2025	mdd2025	NOUN
fcis-32169	8	16	,	,	PUNCT
fcis-32169	8	17	mtfnet	mtfnet	NOUN
fcis-32169	8	18	achieves	achieve	VERB
fcis-32169	8	19	accuracy	accuracy	NOUN
fcis-32169	8	20	rates	rate	NOUN
fcis-32169	8	21	of	of	ADP
fcis-32169	8	22	86	86	NUM
fcis-32169	8	23	%	%	NOUN
fcis-32169	8	24	and	and	CCONJ
fcis-32169	8	25	84	84	NUM
fcis-32169	8	26	%	%	NOUN
fcis-32169	8	27	,	,	PUNCT
fcis-32169	8	28	respectively	respectively	ADV
fcis-32169	8	29	.	.	PUNCT
fcis-32169	9	1	keywords	keyword	NOUN
fcis-32169	9	2	:	:	PUNCT
fcis-32169	9	3	depression	depression	NOUN
fcis-32169	9	4	;	;	PUNCT
fcis-32169	9	5	multimodal	multimodal	NOUN
fcis-32169	9	6	;	;	PUNCT
fcis-32169	9	7	sentence	sentence	NOUN
fcis-32169	9	8	-	-	PUNCT
fcis-32169	9	9	level	level	NOUN
fcis-32169	9	10	dynamic	dynamic	ADJ
fcis-32169	9	11	multimodal	multimodal	NOUN
fcis-32169	9	12	split	split	VERB
fcis-32169	9	13	attention	attention	NOUN
fcis-32169	9	14	fusion	fusion	NOUN
fcis-32169	9	15	.	.	PUNCT
fcis-32169	10	1	1	1	X
fcis-32169	10	2	.	.	X
fcis-32169	10	3	introduction	introduction	NOUN
fcis-32169	10	4	depression	depression	NOUN
fcis-32169	10	5	is	be	AUX
fcis-32169	10	6	a	a	DET
fcis-32169	10	7	highly	highly	ADV
fcis-32169	10	8	prevalent	prevalent	ADJ
fcis-32169	10	9	mental	mental	ADJ
fcis-32169	10	10	disorder	disorder	NOUN
fcis-32169	10	11	affecting	affect	VERB
fcis-32169	10	12	approximately	approximately	ADV
fcis-32169	10	13	350	350	NUM
fcis-32169	10	14	million	million	NUM
fcis-32169	10	15	people	people	NOUN
fcis-32169	10	16	worldwide	worldwide	ADV
fcis-32169	10	17	,	,	PUNCT
fcis-32169	10	18	causing	cause	VERB
fcis-32169	10	19	severe	severe	ADJ
fcis-32169	10	20	impairment	impairment	NOUN
fcis-32169	10	21	in	in	ADP
fcis-32169	10	22	personal	personal	ADJ
fcis-32169	10	23	functioning	functioning	ADJ
fcis-32169	10	24	and	and	CCONJ
fcis-32169	10	25	significant	significant	ADJ
fcis-32169	10	26	societal	societal	ADJ
fcis-32169	10	27	burden	burden	NOUN
fcis-32169	10	28	,	,	PUNCT
fcis-32169	10	29	particularly	particularly	ADV
fcis-32169	10	30	in	in	ADP
fcis-32169	10	31	lowand	lowand	ADJ
fcis-32169	10	32	middle	middle	ADJ
fcis-32169	10	33	-	-	PUNCT
fcis-32169	10	34	income	income	NOUN
fcis-32169	10	35	countries[1	countries[1	NOUN
fcis-32169	10	36	]	]	X
fcis-32169	10	37	.	.	PUNCT
fcis-32169	11	1	as	as	ADP
fcis-32169	11	2	one	one	NUM
fcis-32169	11	3	of	of	ADP
fcis-32169	11	4	the	the	DET
fcis-32169	11	5	primary	primary	ADJ
fcis-32169	11	6	contributors	contributor	NOUN
fcis-32169	11	7	to	to	ADP
fcis-32169	11	8	disability	disability	NOUN
fcis-32169	11	9	-	-	PUNCT
fcis-32169	11	10	adjusted	adjust	VERB
fcis-32169	11	11	life	life	NOUN
fcis-32169	11	12	years	year	NOUN
fcis-32169	11	13	(	(	PUNCT
fcis-32169	11	14	dalys	dalys	AUX
fcis-32169	11	15	)	)	PUNCT
fcis-32169	11	16	lost[2],[3	lost[2],[3	PROPN
fcis-32169	11	17	]	]	PUNCT
fcis-32169	11	18	,	,	PUNCT
fcis-32169	11	19	the	the	DET
fcis-32169	11	20	world	world	PROPN
fcis-32169	11	21	health	health	PROPN
fcis-32169	11	22	organization	organization	NOUN
fcis-32169	11	23	notes	note	VERB
fcis-32169	11	24	that	that	SCONJ
fcis-32169	11	25	depression	depression	NOUN
fcis-32169	11	26	's	's	PART
fcis-32169	11	27	disease	disease	NOUN
fcis-32169	11	28	burden	burden	NOUN
fcis-32169	11	29	ranking	ranking	NOUN
fcis-32169	11	30	is	be	AUX
fcis-32169	11	31	rapidly	rapidly	ADV
fcis-32169	11	32	rising	rise	VERB
fcis-32169	11	33	,	,	PUNCT
fcis-32169	11	34	projected	project	VERB
fcis-32169	11	35	to	to	PART
fcis-32169	11	36	become	become	VERB
fcis-32169	11	37	the	the	DET
fcis-32169	11	38	world	world	NOUN
fcis-32169	11	39	's	's	PART
fcis-32169	11	40	second	second	ADV
fcis-32169	11	41	-	-	PUNCT
fcis-32169	11	42	leading	lead	VERB
fcis-32169	11	43	health	health	NOUN
fcis-32169	11	44	issue	issue	NOUN
fcis-32169	11	45	by	by	ADP
fcis-32169	11	46	2030[4],[5	2030[4],[5	NUM
fcis-32169	11	47	]	]	PUNCT
fcis-32169	11	48	.	.	PUNCT
fcis-32169	12	1	depression	depression	NOUN
fcis-32169	12	2	exhibits	exhibit	VERB
fcis-32169	12	3	high	high	ADJ
fcis-32169	12	4	prevalence	prevalence	NOUN
fcis-32169	12	5	across	across	ADP
fcis-32169	12	6	all	all	DET
fcis-32169	12	7	age	age	NOUN
fcis-32169	12	8	groups	group	NOUN
fcis-32169	12	9	,	,	PUNCT
fcis-32169	12	10	affecting	affect	VERB
fcis-32169	12	11	approximately	approximately	ADV
fcis-32169	12	12	4.5	4.5	NUM
fcis-32169	12	13	%	%	NOUN
fcis-32169	12	14	of	of	ADP
fcis-32169	12	15	adolescents[6	adolescents[6	NUM
fcis-32169	12	16	]	]	PUNCT
fcis-32169	12	17	,	,	PUNCT
fcis-32169	12	18	with	with	ADP
fcis-32169	12	19	postpartum	postpartum	NOUN
fcis-32169	12	20	depression	depression	NOUN
fcis-32169	12	21	occurring	occur	VERB
fcis-32169	12	22	in	in	ADP
fcis-32169	12	23	about	about	ADV
fcis-32169	12	24	20	20	NUM
fcis-32169	12	25	%	%	NOUN
fcis-32169	12	26	of	of	ADP
fcis-32169	12	27	mothers	mother	NOUN
fcis-32169	12	28	within	within	ADP
fcis-32169	12	29	three	three	NUM
fcis-32169	12	30	months	month	NOUN
fcis-32169	12	31	of	of	ADP
fcis-32169	12	32	childbirth[7],[8	childbirth[7],[8	NOUN
fcis-32169	12	33	]	]	PUNCT
fcis-32169	12	34	.	.	PUNCT
fcis-32169	13	1	among	among	ADP
fcis-32169	13	2	the	the	DET
fcis-32169	13	3	elderly	elderly	ADJ
fcis-32169	13	4	population	population	NOUN
fcis-32169	13	5	,	,	PUNCT
fcis-32169	13	6	prevalence	prevalence	NOUN
fcis-32169	13	7	ranges	range	VERB
fcis-32169	13	8	from	from	ADP
fcis-32169	13	9	10	10	NUM
fcis-32169	13	10	%	%	NOUN
fcis-32169	13	11	to	to	ADP
fcis-32169	13	12	20%[9	20%[9	PROPN
fcis-32169	13	13	]	]	PUNCT
fcis-32169	13	14	.	.	PUNCT
fcis-32169	14	1	challenges	challenge	NOUN
fcis-32169	14	2	persist	persist	VERB
fcis-32169	14	3	in	in	ADP
fcis-32169	14	4	early	early	ADJ
fcis-32169	14	5	identification	identification	NOUN
fcis-32169	14	6	and	and	CCONJ
fcis-32169	14	7	intervention	intervention	NOUN
fcis-32169	14	8	due	due	ADP
fcis-32169	14	9	to	to	ADP
fcis-32169	14	10	factors	factor	NOUN
fcis-32169	14	11	such	such	ADJ
fcis-32169	14	12	as	as	ADP
fcis-32169	14	13	uneven	uneven	ADJ
fcis-32169	14	14	distribution	distribution	NOUN
fcis-32169	14	15	of	of	ADP
fcis-32169	14	16	medical	medical	ADJ
fcis-32169	14	17	resources	resource	NOUN
fcis-32169	14	18	,	,	PUNCT
fcis-32169	14	19	prolonged	prolonged	ADJ
fcis-32169	14	20	diagnosis	diagnosis	NOUN
fcis-32169	14	21	cycles	cycle	NOUN
fcis-32169	14	22	,	,	PUNCT
fcis-32169	14	23	and	and	CCONJ
fcis-32169	14	24	limitations	limitation	NOUN
fcis-32169	14	25	of	of	ADP
fcis-32169	14	26	subjective	subjective	ADJ
fcis-32169	14	27	assessments	assessment	NOUN
fcis-32169	14	28	.	.	PUNCT
fcis-32169	15	1	early	early	ADJ
fcis-32169	15	2	studies	study	NOUN
fcis-32169	15	3	predominantly	predominantly	ADV
fcis-32169	15	4	employed	employ	VERB
fcis-32169	15	5	unimodal	unimodal	ADJ
fcis-32169	15	6	modeling	modeling	NOUN
fcis-32169	15	7	.	.	PUNCT
fcis-32169	16	1	for	for	ADP
fcis-32169	16	2	speech	speech	NOUN
fcis-32169	16	3	,	,	PUNCT
fcis-32169	16	4	kim	kim	PROPN
fcis-32169	16	5	et	et	PROPN
fcis-32169	16	6	al.[10	al.[10	PROPN
fcis-32169	16	7	]	]	PUNCT
fcis-32169	16	8	utilized	utilize	VERB
fcis-32169	16	9	cnns	cnn	NOUN
fcis-32169	16	10	to	to	PART
fcis-32169	16	11	model	model	VERB
fcis-32169	16	12	log	log	PROPN
fcis-32169	16	13	-	-	PUNCT
fcis-32169	16	14	mel	mel	PROPN
fcis-32169	16	15	spectrograms	spectrogram	NOUN
fcis-32169	16	16	of	of	ADP
fcis-32169	16	17	korean	korean	ADJ
fcis-32169	16	18	speech	speech	NOUN
fcis-32169	16	19	,	,	PUNCT
fcis-32169	16	20	validating	validate	VERB
fcis-32169	16	21	mobile	mobile	ADJ
fcis-32169	16	22	depression	depression	NOUN
fcis-32169	16	23	screening	screen	VERB
fcis-32169	16	24	feasibility	feasibility	NOUN
fcis-32169	16	25	.	.	PUNCT
fcis-32169	17	1	for	for	ADP
fcis-32169	17	2	text	text	NOUN
fcis-32169	17	3	,	,	PUNCT
fcis-32169	17	4	amanat	amanat	NOUN
fcis-32169	17	5	et	et	NOUN
fcis-32169	17	6	al.[11	al.[11	PROPN
fcis-32169	17	7	]	]	PUNCT
fcis-32169	17	8	employed	employ	VERB
fcis-32169	17	9	a	a	DET
fcis-32169	17	10	two	two	NUM
fcis-32169	17	11	-	-	PUNCT
fcis-32169	17	12	layer	layer	NOUN
fcis-32169	17	13	lstm	lstm	PROPN
fcis-32169	17	14	/	/	SYM
fcis-32169	17	15	rnn	rnn	VERB
fcis-32169	17	16	to	to	PART
fcis-32169	17	17	identify	identify	VERB
fcis-32169	17	18	depressive	depressive	ADJ
fcis-32169	17	19	expressions	expression	NOUN
fcis-32169	17	20	on	on	ADP
fcis-32169	17	21	social	social	ADJ
fcis-32169	17	22	platforms	platform	NOUN
fcis-32169	17	23	.	.	PUNCT
fcis-32169	18	1	for	for	ADP
fcis-32169	18	2	vision	vision	NOUN
fcis-32169	18	3	,	,	PUNCT
fcis-32169	18	4	zhang	zhang	PROPN
fcis-32169	18	5	et	et	PROPN
fcis-32169	18	6	al.[12	al.[12	PROPN
fcis-32169	18	7	]	]	PUNCT
fcis-32169	18	8	constructed	construct	VERB
fcis-32169	18	9	an	an	DET
fcis-32169	18	10	interpretable	interpretable	ADJ
fcis-32169	18	11	model	model	NOUN
fcis-32169	18	12	from	from	ADP
fcis-32169	18	13	facial	facial	ADJ
fcis-32169	18	14	action	action	NOUN
fcis-32169	18	15	units	unit	NOUN
fcis-32169	18	16	.	.	PUNCT
fcis-32169	19	1	while	while	SCONJ
fcis-32169	19	2	unimodal	unimodal	ADJ
fcis-32169	19	3	approaches	approach	NOUN
fcis-32169	19	4	achieved	achieve	VERB
fcis-32169	19	5	some	some	DET
fcis-32169	19	6	success	success	NOUN
fcis-32169	19	7	,	,	PUNCT
fcis-32169	19	8	their	their	PRON
fcis-32169	19	9	performance	performance	NOUN
fcis-32169	19	10	remains	remain	VERB
fcis-32169	19	11	limited	limited	ADJ
fcis-32169	19	12	due	due	ADP
fcis-32169	19	13	to	to	ADP
fcis-32169	19	14	noise	noise	NOUN
fcis-32169	19	15	,	,	PUNCT
fcis-32169	19	16	information	information	NOUN
fcis-32169	19	17	gaps	gap	NOUN
fcis-32169	19	18	,	,	PUNCT
fcis-32169	19	19	and	and	CCONJ
fcis-32169	19	20	environmental	environmental	ADJ
fcis-32169	19	21	factors	factor	NOUN
fcis-32169	19	22	.	.	PUNCT
fcis-32169	20	1	consequently	consequently	ADV
fcis-32169	20	2	,	,	PUNCT
fcis-32169	20	3	multimodal	multimodal	ADJ
fcis-32169	20	4	fusion	fusion	NOUN
fcis-32169	20	5	has	have	AUX
fcis-32169	20	6	emerged	emerge	VERB
fcis-32169	20	7	as	as	ADP
fcis-32169	20	8	the	the	DET
fcis-32169	20	9	mainstream	mainstream	NOUN
fcis-32169	20	10	approach	approach	NOUN
fcis-32169	20	11	.	.	PUNCT
fcis-32169	21	1	zhang	zhang	PROPN
fcis-32169	21	2	et	et	PROPN
fcis-32169	21	3	al.[13	al.[13	PROPN
fcis-32169	21	4	]	]	PUNCT
fcis-32169	21	5	proposed	propose	VERB
fcis-32169	21	6	smfl	smfl	NOUN
fcis-32169	21	7	to	to	PART
fcis-32169	21	8	enhance	enhance	VERB
fcis-32169	21	9	weak	weak	ADJ
fcis-32169	21	10	modal	modal	NOUN
fcis-32169	21	11	features	feature	NOUN
fcis-32169	21	12	through	through	ADP
fcis-32169	21	13	cross	cross	ADJ
fcis-32169	21	14	-	-	ADJ
fcis-32169	21	15	modal	modal	ADJ
fcis-32169	21	16	attention	attention	NOUN
fcis-32169	21	17	;	;	PUNCT
fcis-32169	21	18	wang	wang	PROPN
fcis-32169	21	19	et	et	PROPN
fcis-32169	21	20	al.[14	al.[14	PROPN
fcis-32169	21	21	]	]	PUNCT
fcis-32169	21	22	designed	design	VERB
fcis-32169	21	23	an	an	DET
fcis-32169	21	24	audio	audio	ADJ
fcis-32169	21	25	-	-	PUNCT
fcis-32169	21	26	text	text	NOUN
fcis-32169	21	27	fusion	fusion	NOUN
fcis-32169	21	28	model	model	NOUN
fcis-32169	21	29	based	base	VERB
fcis-32169	21	30	on	on	ADP
fcis-32169	21	31	sese	sese	PROPN
fcis-32169	21	32	,	,	PUNCT
fcis-32169	21	33	achieving	achieve	VERB
fcis-32169	21	34	promising	promising	ADJ
fcis-32169	21	35	results	result	NOUN
fcis-32169	21	36	.	.	PUNCT
fcis-32169	22	1	despite	despite	SCONJ
fcis-32169	22	2	advances	advance	NOUN
fcis-32169	22	3	in	in	ADP
fcis-32169	22	4	multimodal	multimodal	NOUN
fcis-32169	22	5	depression	depression	NOUN
fcis-32169	22	6	detection	detection	NOUN
fcis-32169	22	7	,	,	PUNCT
fcis-32169	22	8	challenges	challenge	NOUN
fcis-32169	22	9	persist	persist	VERB
fcis-32169	22	10	,	,	PUNCT
fcis-32169	22	11	including	include	VERB
fcis-32169	22	12	insufficient	insufficient	ADJ
fcis-32169	22	13	intermodal	intermodal	ADJ
fcis-32169	22	14	interaction	interaction	NOUN
fcis-32169	22	15	and	and	CCONJ
fcis-32169	22	16	difficulties	difficulty	NOUN
fcis-32169	22	17	in	in	ADP
fcis-32169	22	18	representing	represent	VERB
fcis-32169	22	19	long	long	ADJ
fcis-32169	22	20	-	-	PUNCT
fcis-32169	22	21	sequence	sequence	NOUN
fcis-32169	22	22	semantics	semantic	NOUN
fcis-32169	22	23	.	.	PUNCT
fcis-32169	23	1	differences	difference	NOUN
fcis-32169	23	2	in	in	ADP
fcis-32169	23	3	temporal	temporal	ADJ
fcis-32169	23	4	dynamics	dynamic	NOUN
fcis-32169	23	5	and	and	CCONJ
fcis-32169	23	6	expressive	expressive	ADJ
fcis-32169	23	7	forms	form	NOUN
fcis-32169	23	8	across	across	ADP
fcis-32169	23	9	modalities	modality	NOUN
fcis-32169	23	10	hinder	hinder	NOUN
fcis-32169	23	11	models	model	NOUN
fcis-32169	23	12	from	from	ADP
fcis-32169	23	13	capturing	capture	VERB
fcis-32169	23	14	crossmodal	crossmodal	ADJ
fcis-32169	23	15	dependencies	dependency	NOUN
fcis-32169	23	16	,	,	PUNCT
fcis-32169	23	17	while	while	SCONJ
fcis-32169	23	18	limited	limited	ADJ
fcis-32169	23	19	high	high	ADJ
fcis-32169	23	20	-	-	PUNCT
fcis-32169	23	21	quality	quality	NOUN
fcis-32169	23	22	data	datum	NOUN
fcis-32169	23	23	often	often	ADV
fcis-32169	23	24	leads	lead	VERB
fcis-32169	23	25	to	to	ADP
fcis-32169	23	26	overfitting	overfitte	VERB
fcis-32169	23	27	.	.	PUNCT
fcis-32169	24	1	to	to	PART
fcis-32169	24	2	address	address	VERB
fcis-32169	24	3	these	these	DET
fcis-32169	24	4	challenges	challenge	NOUN
fcis-32169	24	5	,	,	PUNCT
fcis-32169	24	6	this	this	DET
fcis-32169	24	7	study	study	NOUN
fcis-32169	24	8	proposes	propose	VERB
fcis-32169	24	9	a	a	DET
fcis-32169	24	10	multimodal	multimodal	ADJ
fcis-32169	24	11	temporal	temporal	ADJ
fcis-32169	24	12	fusion	fusion	NOUN
fcis-32169	24	13	network	network	NOUN
fcis-32169	24	14	.	.	PUNCT
fcis-32169	25	1	it	it	PRON
fcis-32169	25	2	segments	segment	VERB
fcis-32169	25	3	sequences	sequence	NOUN
fcis-32169	25	4	into	into	ADP
fcis-32169	25	5	sentence	sentence	NOUN
fcis-32169	25	6	units	unit	NOUN
fcis-32169	25	7	and	and	CCONJ
fcis-32169	25	8	employs	employ	VERB
fcis-32169	25	9	hierarchical	hierarchical	ADJ
fcis-32169	25	10	modeling	modeling	NOUN
fcis-32169	25	11	with	with	ADP
fcis-32169	25	12	lstm	lstm	NOUN
fcis-32169	25	13	and	and	CCONJ
fcis-32169	25	14	bilstm	bilstm	NOUN
fcis-32169	25	15	to	to	PART
fcis-32169	25	16	enhance	enhance	VERB
fcis-32169	25	17	long	long	ADJ
fcis-32169	25	18	-	-	PUNCT
fcis-32169	25	19	range	range	NOUN
fcis-32169	25	20	semantic	semantic	ADJ
fcis-32169	25	21	representation	representation	NOUN
fcis-32169	25	22	.	.	PUNCT
fcis-32169	26	1	additionally	additionally	ADV
fcis-32169	26	2	,	,	PUNCT
fcis-32169	26	3	it	it	PRON
fcis-32169	26	4	designs	design	VERB
fcis-32169	26	5	a	a	DET
fcis-32169	26	6	sentencelevel	sentencelevel	ADJ
fcis-32169	26	7	dynamic	dynamic	ADJ
fcis-32169	26	8	multimodal	multimodal	NOUN
fcis-32169	26	9	split	split	VERB
fcis-32169	26	10	attention	attention	NOUN
fcis-32169	26	11	fusion	fusion	NOUN
fcis-32169	26	12	module	module	NOUN
fcis-32169	26	13	that	that	PRON
fcis-32169	26	14	utilizes	utilize	VERB
fcis-32169	26	15	segmented	segment	VERB
fcis-32169	26	16	attention	attention	NOUN
fcis-32169	26	17	and	and	CCONJ
fcis-32169	26	18	learnable	learnable	ADJ
fcis-32169	26	19	weights	weight	NOUN
fcis-32169	26	20	to	to	PART
fcis-32169	26	21	amplify	amplify	VERB
fcis-32169	26	22	key	key	ADJ
fcis-32169	26	23	modalities	modality	NOUN
fcis-32169	26	24	and	and	CCONJ
fcis-32169	26	25	suppress	suppress	VERB
fcis-32169	26	26	noise	noise	NOUN
fcis-32169	26	27	.	.	PUNCT
fcis-32169	27	1	2	2	X
fcis-32169	27	2	.	.	X
fcis-32169	27	3	model	model	NOUN
fcis-32169	27	4	construction	construction	NOUN
fcis-32169	27	5	to	to	PART
fcis-32169	27	6	address	address	VERB
fcis-32169	27	7	insufficient	insufficient	ADJ
fcis-32169	27	8	modality	modality	NOUN
fcis-32169	27	9	interaction	interaction	NOUN
fcis-32169	27	10	and	and	CCONJ
fcis-32169	27	11	challenges	challenge	NOUN
fcis-32169	27	12	in	in	ADP
fcis-32169	27	13	modeling	model	VERB
fcis-32169	27	14	long	long	ADJ
fcis-32169	27	15	-	-	PUNCT
fcis-32169	27	16	sequence	sequence	NOUN
fcis-32169	27	17	semantics	semantic	NOUN
fcis-32169	27	18	in	in	ADP
fcis-32169	27	19	multimodal	multimodal	NOUN
fcis-32169	27	20	depression	depression	NOUN
fcis-32169	27	21	recognition	recognition	NOUN
fcis-32169	27	22	,	,	PUNCT
fcis-32169	27	23	this	this	DET
fcis-32169	27	24	study	study	NOUN
fcis-32169	27	25	proposes	propose	VERB
fcis-32169	27	26	the	the	DET
fcis-32169	27	27	multimodal	multimodal	ADJ
fcis-32169	27	28	temporal	temporal	ADJ
fcis-32169	27	29	fusion	fusion	NOUN
fcis-32169	27	30	network	network	NOUN
fcis-32169	27	31	(	(	PUNCT
fcis-32169	27	32	mtfnet	mtfnet	NOUN
fcis-32169	27	33	)	)	PUNCT
fcis-32169	27	34	,	,	PUNCT
fcis-32169	27	35	as	as	SCONJ
fcis-32169	27	36	shown	show	VERB
fcis-32169	27	37	in	in	ADP
fcis-32169	27	38	fig	fig	NOUN
fcis-32169	27	39	.	.	PUNCT
fcis-32169	28	1	1	1	X
fcis-32169	28	2	.	.	X
fcis-32169	28	3	this	this	DET
fcis-32169	28	4	model	model	NOUN
fcis-32169	28	5	takes	take	VERB
fcis-32169	28	6	consultation	consultation	NOUN
fcis-32169	28	7	data	datum	NOUN
fcis-32169	28	8	from	from	ADP
fcis-32169	28	9	three	three	NUM
fcis-32169	28	10	modalities	modality	NOUN
fcis-32169	28	11	—	—	PUNCT
fcis-32169	28	12	text	text	NOUN
fcis-32169	28	13	,	,	PUNCT
fcis-32169	28	14	audio	audio	NOUN
fcis-32169	28	15	,	,	PUNCT
fcis-32169	28	16	and	and	CCONJ
fcis-32169	28	17	facial	facial	ADJ
fcis-32169	28	18	expressions	expression	NOUN
fcis-32169	28	19	—	—	PUNCT
fcis-32169	28	20	as	as	ADP
fcis-32169	28	21	input	input	NOUN
fcis-32169	28	22	.	.	PUNCT
fcis-32169	29	1	it	it	PRON
fcis-32169	29	2	sequentially	sequentially	ADV
fcis-32169	29	3	undergoes	undergo	VERB
fcis-32169	29	4	sentence	sentence	NOUN
fcis-32169	29	5	-	-	PUNCT
fcis-32169	29	6	level	level	NOUN
fcis-32169	29	7	feature	feature	NOUN
fcis-32169	29	8	modeling	modeling	NOUN
fcis-32169	29	9	,	,	PUNCT
fcis-32169	29	10	dynamic	dynamic	ADJ
fcis-32169	29	11	attention	attention	NOUN
fcis-32169	29	12	fusion	fusion	NOUN
fcis-32169	29	13	,	,	PUNCT
fcis-32169	29	14	and	and	CCONJ
fcis-32169	29	15	global	global	ADJ
fcis-32169	29	16	temporal	temporal	ADJ
fcis-32169	29	17	modeling	modeling	NOUN
fcis-32169	29	18	to	to	PART
fcis-32169	29	19	achieve	achieve	VERB
fcis-32169	29	20	multi	multi	ADJ
fcis-32169	29	21	-	-	ADJ
fcis-32169	29	22	level	level	ADJ
fcis-32169	29	23	feature	feature	NOUN
fcis-32169	29	24	representation	representation	NOUN
fcis-32169	29	25	and	and	CCONJ
fcis-32169	29	26	fusion	fusion	NOUN
fcis-32169	29	27	.	.	PUNCT
fcis-32169	30	1	at	at	ADP
fcis-32169	30	2	the	the	DET
fcis-32169	30	3	sentence	sentence	NOUN
fcis-32169	30	4	-	-	PUNCT
fcis-32169	30	5	level	level	NOUN
fcis-32169	30	6	modeling	modeling	NOUN
fcis-32169	30	7	stage	stage	NOUN
fcis-32169	30	8	,	,	PUNCT
fcis-32169	30	9	multimodal	multimodal	ADJ
fcis-32169	30	10	data	datum	NOUN
fcis-32169	30	11	is	be	AUX
fcis-32169	30	12	aligned	align	VERB
fcis-32169	30	13	to	to	ADP
fcis-32169	30	14	sentence	sentence	NOUN
fcis-32169	30	15	-	-	PUNCT
fcis-32169	30	16	level	level	NOUN
fcis-32169	30	17	units	unit	NOUN
fcis-32169	30	18	based	base	VERB
fcis-32169	30	19	on	on	ADP
fcis-32169	30	20	timestamps	timestamp	NOUN
fcis-32169	30	21	and	and	CCONJ
fcis-32169	30	22	fed	feed	VERB
fcis-32169	30	23	into	into	ADP
fcis-32169	30	24	lstms	lstms	NOUN
fcis-32169	30	25	for	for	ADP
fcis-32169	30	26	feature	feature	NOUN
fcis-32169	30	27	extraction	extraction	NOUN
fcis-32169	30	28	.	.	PUNCT
fcis-32169	31	1	subsequently	subsequently	ADV
fcis-32169	31	2	,	,	PUNCT
fcis-32169	31	3	a	a	DET
fcis-32169	31	4	sentencelevel	sentencelevel	ADJ
fcis-32169	31	5	dynamic	dynamic	ADJ
fcis-32169	31	6	multimodal	multimodal	NOUN
fcis-32169	31	7	segmentation	segmentation	NOUN
fcis-32169	31	8	attention	attention	NOUN
fcis-32169	31	9	fusion	fusion	NOUN
fcis-32169	31	10	module	module	NOUN
fcis-32169	31	11	segments	segment	NOUN
fcis-32169	31	12	features	feature	VERB
fcis-32169	31	13	into	into	ADP
fcis-32169	31	14	blocks	block	NOUN
fcis-32169	31	15	.	.	PUNCT
fcis-32169	32	1	through	through	ADP
fcis-32169	32	2	dual	dual	ADJ
fcis-32169	32	3	weighting	weighting	NOUN
fcis-32169	32	4	by	by	ADP
fcis-32169	32	5	block	block	NOUN
fcis-32169	32	6	-	-	PUNCT
fcis-32169	32	7	level	level	NOUN
fcis-32169	32	8	attention	attention	NOUN
fcis-32169	32	9	and	and	CCONJ
fcis-32169	32	10	modality	modality	NOUN
fcis-32169	32	11	weights	weight	NOUN
fcis-32169	32	12	,	,	PUNCT
fcis-32169	32	13	key	key	ADJ
fcis-32169	32	14	features	feature	NOUN
fcis-32169	32	15	are	be	AUX
fcis-32169	32	16	amplified	amplify	VERB
fcis-32169	32	17	while	while	SCONJ
fcis-32169	32	18	noise	noise	NOUN
fcis-32169	32	19	is	be	AUX
fcis-32169	32	20	suppressed	suppress	VERB
fcis-32169	32	21	,	,	PUNCT
fcis-32169	32	22	addressing	address	VERB
fcis-32169	32	23	the	the	DET
fcis-32169	32	24	limitation	limitation	NOUN
fcis-32169	32	25	of	of	ADP
fcis-32169	32	26	traditional	traditional	ADJ
fcis-32169	32	27	concatenation	concatenation	NOUN
fcis-32169	32	28	in	in	ADP
fcis-32169	32	29	capturing	capture	VERB
fcis-32169	32	30	finegrained	finegraine	VERB
fcis-32169	32	31	interactions	interaction	NOUN
fcis-32169	32	32	.	.	PUNCT
fcis-32169	33	1	during	during	ADP
fcis-32169	33	2	the	the	DET
fcis-32169	33	3	global	global	ADJ
fcis-32169	33	4	temporal	temporal	ADJ
fcis-32169	33	5	modeling	modeling	NOUN
fcis-32169	33	6	phase	phase	NOUN
fcis-32169	33	7	,	,	PUNCT
fcis-32169	33	8	audio	audio	ADJ
fcis-32169	33	9	and	and	CCONJ
fcis-32169	33	10	facial	facial	ADJ
fcis-32169	33	11	features	feature	NOUN
fcis-32169	33	12	are	be	AUX
fcis-32169	33	13	fed	feed	VERB
fcis-32169	33	14	into	into	ADP
fcis-32169	33	15	an	an	DET
fcis-32169	33	16	lstm	lstm	NOUN
fcis-32169	33	17	,	,	PUNCT
fcis-32169	33	18	while	while	SCONJ
fcis-32169	33	19	textual	textual	ADJ
fcis-32169	33	20	features	feature	NOUN
fcis-32169	33	21	enter	enter	VERB
fcis-32169	33	22	a	a	DET
fcis-32169	33	23	bilstm	bilstm	NOUN
fcis-32169	33	24	to	to	PART
fcis-32169	33	25	capture	capture	VERB
fcis-32169	33	26	cross	cross	ADJ
fcis-32169	33	27	-	-	ADJ
fcis-32169	33	28	sentence	sentence	ADJ
fcis-32169	33	29	dependencies	dependency	NOUN
fcis-32169	33	30	,	,	PUNCT
fcis-32169	33	31	forming	form	VERB
fcis-32169	33	32	a	a	DET
fcis-32169	33	33	global	global	ADJ
fcis-32169	33	34	discourse	discourse	NOUN
fcis-32169	33	35	representation	representation	NOUN
fcis-32169	33	36	.	.	PUNCT
fcis-32169	34	1	60	60	NUM
fcis-32169	34	2	finally	finally	ADV
fcis-32169	34	3	,	,	PUNCT
fcis-32169	34	4	the	the	DET
fcis-32169	34	5	fused	fuse	VERB
fcis-32169	34	6	features	feature	NOUN
fcis-32169	34	7	undergo	undergo	VERB
fcis-32169	34	8	a	a	DET
fcis-32169	34	9	fully	fully	ADV
fcis-32169	34	10	connected	connect	VERB
fcis-32169	34	11	layer	layer	NOUN
fcis-32169	34	12	to	to	PART
fcis-32169	34	13	perform	perform	VERB
fcis-32169	34	14	depression	depression	NOUN
fcis-32169	34	15	state	state	NOUN
fcis-32169	34	16	classification	classification	NOUN
fcis-32169	34	17	.	.	PUNCT
fcis-32169	35	1	2.1	2.1	NUM
fcis-32169	35	2	.	.	PUNCT
fcis-32169	35	3	foundational	foundational	ADJ
fcis-32169	35	4	model	model	NOUN
fcis-32169	35	5	overview	overview	NOUN
fcis-32169	35	6	multimodal	multimodal	NOUN
fcis-32169	35	7	data	datum	NOUN
fcis-32169	35	8	exhibits	exhibit	VERB
fcis-32169	35	9	significant	significant	ADJ
fcis-32169	35	10	temporal	temporal	ADJ
fcis-32169	35	11	dependencies	dependency	NOUN
fcis-32169	35	12	,	,	PUNCT
fcis-32169	35	13	making	make	VERB
fcis-32169	35	14	sequential	sequential	ADJ
fcis-32169	35	15	modeling	modeling	NOUN
fcis-32169	35	16	crucial	crucial	ADJ
fcis-32169	35	17	for	for	ADP
fcis-32169	35	18	depression	depression	NOUN
fcis-32169	35	19	detection	detection	NOUN
fcis-32169	35	20	.	.	PUNCT
fcis-32169	36	1	lstm[15	lstm[15	PROPN
fcis-32169	36	2	]	]	PUNCT
fcis-32169	36	3	mitigates	mitigate	VERB
fcis-32169	36	4	gradient	gradient	NOUN
fcis-32169	36	5	vanishing	vanish	VERB
fcis-32169	36	6	through	through	ADP
fcis-32169	36	7	gating	gate	VERB
fcis-32169	36	8	mechanisms	mechanism	NOUN
fcis-32169	36	9	,	,	PUNCT
fcis-32169	36	10	preserving	preserve	VERB
fcis-32169	36	11	key	key	ADJ
fcis-32169	36	12	information	information	NOUN
fcis-32169	36	13	over	over	ADP
fcis-32169	36	14	extended	extended	ADJ
fcis-32169	36	15	time	time	NOUN
fcis-32169	36	16	spans	span	NOUN
fcis-32169	36	17	and	and	CCONJ
fcis-32169	36	18	enabling	enable	VERB
fcis-32169	36	19	dynamic	dynamic	ADJ
fcis-32169	36	20	modeling	modeling	NOUN
fcis-32169	36	21	of	of	ADP
fcis-32169	36	22	speech	speech	NOUN
fcis-32169	36	23	and	and	CCONJ
fcis-32169	36	24	facial	facial	ADJ
fcis-32169	36	25	modalities	modality	NOUN
fcis-32169	36	26	.	.	PUNCT
fcis-32169	37	1	bilstm[16	bilstm[16	NOUN
fcis-32169	37	2	]	]	PUNCT
fcis-32169	37	3	integrates	integrate	VERB
fcis-32169	37	4	forward	forward	ADV
fcis-32169	37	5	and	and	CCONJ
fcis-32169	37	6	backward	backward	ADJ
fcis-32169	37	7	information	information	NOUN
fcis-32169	37	8	to	to	PART
fcis-32169	37	9	model	model	VERB
fcis-32169	37	10	context	context	NOUN
fcis-32169	37	11	more	more	ADV
fcis-32169	37	12	comprehensively	comprehensively	ADV
fcis-32169	37	13	,	,	PUNCT
fcis-32169	37	14	making	make	VERB
fcis-32169	37	15	it	it	PRON
fcis-32169	37	16	particularly	particularly	ADV
fcis-32169	37	17	suitable	suitable	ADJ
fcis-32169	37	18	for	for	ADP
fcis-32169	37	19	contextsensitive	contextsensitive	ADJ
fcis-32169	37	20	text	text	NOUN
fcis-32169	37	21	modalities	modality	NOUN
fcis-32169	37	22	.	.	PUNCT
fcis-32169	38	1	based	base	VERB
fcis-32169	38	2	on	on	ADP
fcis-32169	38	3	this	this	PRON
fcis-32169	38	4	,	,	PUNCT
fcis-32169	38	5	mtfnet	mtfnet	NOUN
fcis-32169	38	6	employs	employ	VERB
fcis-32169	38	7	lstm	lstm	NOUN
fcis-32169	38	8	for	for	ADP
fcis-32169	38	9	speech	speech	NOUN
fcis-32169	38	10	and	and	CCONJ
fcis-32169	38	11	facial	facial	ADJ
fcis-32169	38	12	modalities	modality	NOUN
fcis-32169	38	13	while	while	SCONJ
fcis-32169	38	14	utilizing	utilize	VERB
fcis-32169	38	15	bilstm	bilstm	NOUN
fcis-32169	38	16	for	for	ADP
fcis-32169	38	17	global	global	ADJ
fcis-32169	38	18	temporal	temporal	ADJ
fcis-32169	38	19	modeling	modeling	NOUN
fcis-32169	38	20	in	in	ADP
fcis-32169	38	21	text	text	NOUN
fcis-32169	38	22	modalities	modality	NOUN
fcis-32169	38	23	,	,	PUNCT
fcis-32169	38	24	thereby	thereby	ADV
fcis-32169	38	25	balancing	balance	VERB
fcis-32169	38	26	local	local	ADJ
fcis-32169	38	27	dynamics	dynamic	NOUN
fcis-32169	38	28	and	and	CCONJ
fcis-32169	38	29	global	global	ADJ
fcis-32169	38	30	dependencies	dependency	NOUN
fcis-32169	38	31	.	.	PUNCT
fcis-32169	39	1	2.2	2.2	NUM
fcis-32169	39	2	.	.	PUNCT
fcis-32169	39	3	sentence	sentence	NOUN
fcis-32169	39	4	-	-	PUNCT
fcis-32169	39	5	level	level	NOUN
fcis-32169	39	6	dynamic	dynamic	ADJ
fcis-32169	39	7	multimodal	multimodal	NOUN
fcis-32169	39	8	split	split	VERB
fcis-32169	39	9	attention	attention	NOUN
fcis-32169	39	10	fusion	fusion	NOUN
fcis-32169	39	11	module	module	NOUN
fcis-32169	39	12	existing	exist	VERB
fcis-32169	39	13	methods	method	NOUN
fcis-32169	39	14	often	often	ADV
fcis-32169	39	15	fuse	fuse	VERB
fcis-32169	39	16	sentence	sentence	NOUN
fcis-32169	39	17	sequences	sequence	NOUN
fcis-32169	39	18	as	as	ADP
fcis-32169	39	19	a	a	DET
fcis-32169	39	20	whole	whole	NOUN
fcis-32169	39	21	,	,	PUNCT
fcis-32169	39	22	struggling	struggle	VERB
fcis-32169	39	23	to	to	PART
fcis-32169	39	24	capture	capture	VERB
fcis-32169	39	25	fragment	fragment	NOUN
fcis-32169	39	26	dynamics	dynamic	NOUN
fcis-32169	39	27	and	and	CCONJ
fcis-32169	39	28	modality	modality	NOUN
fcis-32169	39	29	differences	difference	NOUN
fcis-32169	39	30	.	.	PUNCT
fcis-32169	40	1	this	this	DET
fcis-32169	40	2	study	study	NOUN
fcis-32169	40	3	improves	improve	VERB
fcis-32169	40	4	upon	upon	SCONJ
fcis-32169	40	5	msaf[17	msaf[17	NUM
fcis-32169	40	6	]	]	PUNCT
fcis-32169	40	7	by	by	ADP
fcis-32169	40	8	proposing	propose	VERB
fcis-32169	40	9	the	the	DET
fcis-32169	40	10	sentence	sentence	NOUN
fcis-32169	40	11	-	-	PUNCT
fcis-32169	40	12	level	level	NOUN
fcis-32169	40	13	dynamic	dynamic	ADJ
fcis-32169	40	14	multimodal	multimodal	NOUN
fcis-32169	40	15	split	split	VERB
fcis-32169	40	16	attention	attention	NOUN
fcis-32169	40	17	fusion	fusion	NOUN
fcis-32169	40	18	(	(	PUNCT
fcis-32169	40	19	sdmsaf	sdmsaf	PROPN
fcis-32169	40	20	)	)	PUNCT
fcis-32169	40	21	.	.	PUNCT
fcis-32169	41	1	this	this	DET
fcis-32169	41	2	module	module	NOUN
fcis-32169	41	3	incorporates	incorporate	VERB
fcis-32169	41	4	sentence	sentence	NOUN
fcis-32169	41	5	sequence	sequence	NOUN
fcis-32169	41	6	segmentation	segmentation	NOUN
fcis-32169	41	7	processing	processing	NOUN
fcis-32169	41	8	and	and	CCONJ
fcis-32169	41	9	dynamic	dynamic	ADJ
fcis-32169	41	10	multimodal	multimodal	NOUN
fcis-32169	41	11	attention	attention	NOUN
fcis-32169	41	12	fusion	fusion	NOUN
fcis-32169	41	13	,	,	PUNCT
fcis-32169	41	14	enabling	enable	VERB
fcis-32169	41	15	local	local	ADJ
fcis-32169	41	16	fragment	fragment	NOUN
fcis-32169	41	17	modeling	modeling	NOUN
fcis-32169	41	18	and	and	CCONJ
fcis-32169	41	19	adaptive	adaptive	ADJ
fcis-32169	41	20	modal	modal	ADJ
fcis-32169	41	21	weight	weight	NOUN
fcis-32169	41	22	allocation	allocation	NOUN
fcis-32169	41	23	to	to	PART
fcis-32169	41	24	enhance	enhance	VERB
fcis-32169	41	25	expressive	expressive	ADJ
fcis-32169	41	26	capabilities	capability	NOUN
fcis-32169	41	27	in	in	ADP
fcis-32169	41	28	interactions	interaction	NOUN
fcis-32169	41	29	.	.	PUNCT
fcis-32169	42	1	fig	fig	NOUN
fcis-32169	42	2	1	1	NUM
fcis-32169	42	3	.	.	PUNCT
fcis-32169	43	1	multimodal	multimodal	ADJ
fcis-32169	43	2	temporal	temporal	ADJ
fcis-32169	43	3	fusion	fusion	NOUN
fcis-32169	43	4	network	network	NOUN
fcis-32169	43	5	2.2.1	2.2.1	NUM
fcis-32169	43	6	.	.	PUNCT
fcis-32169	43	7	sentence	sentence	NOUN
fcis-32169	43	8	sequence	sequence	NOUN
fcis-32169	43	9	segmentation	segmentation	NOUN
fcis-32169	43	10	mechanism	mechanism	NOUN
fcis-32169	43	11	the	the	DET
fcis-32169	43	12	msaf	msaf	NOUN
fcis-32169	43	13	module	module	NOUN
fcis-32169	43	14	was	be	AUX
fcis-32169	43	15	originally	originally	ADV
fcis-32169	43	16	designed	design	VERB
fcis-32169	43	17	for	for	ADP
fcis-32169	43	18	convolutional	convolutional	ADJ
fcis-32169	43	19	neural	neural	ADJ
fcis-32169	43	20	networks	network	NOUN
fcis-32169	43	21	,	,	PUNCT
fcis-32169	43	22	with	with	ADP
fcis-32169	43	23	its	its	PRON
fcis-32169	43	24	core	core	ADJ
fcis-32169	43	25	idea	idea	NOUN
fcis-32169	43	26	being	be	AUX
fcis-32169	43	27	to	to	PART
fcis-32169	43	28	segment	segment	VERB
fcis-32169	43	29	features	feature	NOUN
fcis-32169	43	30	into	into	ADP
fcis-32169	43	31	blocks	block	NOUN
fcis-32169	43	32	and	and	CCONJ
fcis-32169	43	33	assign	assign	VERB
fcis-32169	43	34	differentiated	differentiated	ADJ
fcis-32169	43	35	attention	attention	NOUN
fcis-32169	43	36	.	.	PUNCT
fcis-32169	44	1	however	however	ADV
fcis-32169	44	2	,	,	PUNCT
fcis-32169	44	3	when	when	SCONJ
fcis-32169	44	4	directly	directly	ADV
fcis-32169	44	5	applied	apply	VERB
fcis-32169	44	6	to	to	ADP
fcis-32169	44	7	sequence	sequence	NOUN
fcis-32169	44	8	modeling	modeling	NOUN
fcis-32169	44	9	,	,	PUNCT
fcis-32169	44	10	it	it	PRON
fcis-32169	44	11	lacks	lack	VERB
fcis-32169	44	12	flexible	flexible	ADJ
fcis-32169	44	13	adjustment	adjustment	NOUN
fcis-32169	44	14	along	along	ADP
fcis-32169	44	15	the	the	DET
fcis-32169	44	16	temporal	temporal	ADJ
fcis-32169	44	17	dimension	dimension	NOUN
fcis-32169	44	18	.	.	PUNCT
fcis-32169	45	1	inputting	inputte	VERB
fcis-32169	45	2	the	the	DET
fcis-32169	45	3	entire	entire	ADJ
fcis-32169	45	4	sequence	sequence	NOUN
fcis-32169	45	5	into	into	ADP
fcis-32169	45	6	dmsaf	dmsaf	NOUN
fcis-32169	45	7	reduces	reduce	VERB
fcis-32169	45	8	computation	computation	NOUN
fcis-32169	45	9	but	but	CCONJ
fcis-32169	45	10	struggles	struggle	VERB
fcis-32169	45	11	to	to	PART
fcis-32169	45	12	capture	capture	VERB
fcis-32169	45	13	temporal	temporal	ADJ
fcis-32169	45	14	dynamics	dynamic	NOUN
fcis-32169	45	15	;	;	PUNCT
fcis-32169	45	16	inputting	inputte	VERB
fcis-32169	45	17	sentence	sentence	NOUN
fcis-32169	45	18	-	-	PUNCT
fcis-32169	45	19	by	by	ADP
fcis-32169	45	20	-	-	PUNCT
fcis-32169	45	21	sentence	sentence	NOUN
fcis-32169	45	22	enhances	enhance	NOUN
fcis-32169	45	23	local	local	ADJ
fcis-32169	45	24	modeling	modeling	NOUN
fcis-32169	45	25	but	but	CCONJ
fcis-32169	45	26	is	be	AUX
fcis-32169	45	27	prone	prone	ADJ
fcis-32169	45	28	to	to	ADP
fcis-32169	45	29	overfitting	overfitte	VERB
fcis-32169	45	30	.	.	PUNCT
fcis-32169	46	1	this	this	DET
fcis-32169	46	2	study	study	NOUN
fcis-32169	46	3	proposes	propose	VERB
fcis-32169	46	4	the	the	DET
fcis-32169	46	5	sentence	sentence	NOUN
fcis-32169	46	6	-	-	PUNCT
fcis-32169	46	7	sequence	sequence	NOUN
fcis-32169	46	8	segmentation	segmentation	NOUN
fcis-32169	46	9	(	(	PUNCT
fcis-32169	46	10	sss	sss	NOUN
fcis-32169	46	11	)	)	PUNCT
fcis-32169	46	12	mechanism	mechanism	NOUN
fcis-32169	46	13	,	,	PUNCT
fcis-32169	46	14	illustrated	illustrate	VERB
fcis-32169	46	15	in	in	ADP
fcis-32169	46	16	fig	fig	NOUN
fcis-32169	46	17	.	.	PUNCT
fcis-32169	47	1	2	2	X
fcis-32169	47	2	.	.	PUNCT
fcis-32169	47	3	by	by	ADP
fcis-32169	47	4	partitioning	partition	VERB
fcis-32169	47	5	sentence	sentence	NOUN
fcis-32169	47	6	sequences	sequence	NOUN
fcis-32169	47	7	into	into	ADP
fcis-32169	47	8	contiguous	contiguous	ADJ
fcis-32169	47	9	segments	segment	NOUN
fcis-32169	47	10	,	,	PUNCT
fcis-32169	47	11	this	this	DET
fcis-32169	47	12	mechanism	mechanism	NOUN
fcis-32169	47	13	enables	enable	VERB
fcis-32169	47	14	dmsaf	dmsaf	NOUN
fcis-32169	47	15	to	to	PART
fcis-32169	47	16	capture	capture	VERB
fcis-32169	47	17	dynamic	dynamic	ADJ
fcis-32169	47	18	information	information	NOUN
fcis-32169	47	19	within	within	ADP
fcis-32169	47	20	local	local	ADJ
fcis-32169	47	21	scopes	scope	NOUN
fcis-32169	47	22	while	while	SCONJ
fcis-32169	47	23	balancing	balance	VERB
fcis-32169	47	24	model	model	NOUN
fcis-32169	47	25	complexity	complexity	NOUN
fcis-32169	47	26	and	and	CCONJ
fcis-32169	47	27	representational	representational	ADJ
fcis-32169	47	28	power	power	NOUN
fcis-32169	47	29	through	through	ADP
fcis-32169	47	30	controlled	control	VERB
fcis-32169	47	31	segment	segment	NOUN
fcis-32169	47	32	counts	count	NOUN
fcis-32169	47	33	.	.	PUNCT
fcis-32169	48	1	after	after	ADP
fcis-32169	48	2	initial	initial	ADJ
fcis-32169	48	3	sentence	sentence	NOUN
fcis-32169	48	4	-	-	PUNCT
fcis-32169	48	5	level	level	NOUN
fcis-32169	48	6	feature	feature	NOUN
fcis-32169	48	7	extraction	extraction	NOUN
fcis-32169	48	8	,	,	PUNCT
fcis-32169	48	9	the	the	DET
fcis-32169	48	10	resulting	result	VERB
fcis-32169	48	11	sentence	sentence	NOUN
fcis-32169	48	12	sequence	sequence	NOUN
fcis-32169	48	13	representations	representation	VERB
fcis-32169	48	14	across	across	ADP
fcis-32169	48	15	audio	audio	NOUN
fcis-32169	48	16	,	,	PUNCT
fcis-32169	48	17	facial	facial	ADJ
fcis-32169	48	18	,	,	PUNCT
fcis-32169	48	19	and	and	CCONJ
fcis-32169	48	20	text	text	NOUN
fcis-32169	48	21	modalities	modality	NOUN
fcis-32169	48	22	are	be	AUX
fcis-32169	48	23	expressed	express	VERB
fcis-32169	48	24	as	as	ADP
fcis-32169	48	25	in	in	ADP
fcis-32169	48	26	equations	equation	NOUN
fcis-32169	48	27	(	(	PUNCT
fcis-32169	48	28	1–3	1–3	NOUN
fcis-32169	48	29	):	):	PUNCT
fcis-32169	48	30	61	61	NUM
fcis-32169	48	31	fig	fig	NOUN
fcis-32169	48	32	2	2	NUM
fcis-32169	48	33	.	.	PUNCT
fcis-32169	48	34	sentence	sentence	NOUN
fcis-32169	48	35	-	-	PUNCT
fcis-32169	48	36	sequence	sequence	NOUN
fcis-32169	48	37	segmentation	segmentation	NOUN
fcis-32169	48	38	mechanism	mechanism	NOUN
fcis-32169	48	39	where	where	SCONJ
fcis-32169	48	40	denotes	denote	VERB
fcis-32169	48	41	the	the	DET
fcis-32169	48	42	total	total	ADJ
fcis-32169	48	43	number	number	NOUN
fcis-32169	48	44	of	of	ADP
fcis-32169	48	45	sentences	sentence	NOUN
fcis-32169	48	46	.	.	PUNCT
fcis-32169	49	1	subsequently	subsequently	ADV
fcis-32169	49	2	,	,	PUNCT
fcis-32169	49	3	each	each	DET
fcis-32169	49	4	modality	modality	NOUN
fcis-32169	49	5	sequence	sequence	NOUN
fcis-32169	49	6	is	be	AUX
fcis-32169	49	7	segmented	segment	VERB
fcis-32169	49	8	into	into	ADP
fcis-32169	49	9	fragments	fragment	NOUN
fcis-32169	49	10	along	along	ADP
fcis-32169	49	11	the	the	DET
fcis-32169	49	12	sentence	sentence	NOUN
fcis-32169	49	13	sequence	sequence	NOUN
fcis-32169	49	14	dimension	dimension	NOUN
fcis-32169	49	15	,	,	PUNCT
fcis-32169	49	16	as	as	SCONJ
fcis-32169	49	17	shown	show	VERB
fcis-32169	49	18	in	in	ADP
fcis-32169	49	19	equations	equation	NOUN
fcis-32169	49	20	(	(	PUNCT
fcis-32169	49	21	4–6	4–6	NOUN
fcis-32169	49	22	):	):	PUNCT
fcis-32169	49	23	among	among	ADP
fcis-32169	49	24	these	these	PRON
fcis-32169	49	25	,	,	PUNCT
fcis-32169	49	26	,	,	PUNCT
fcis-32169	49	27	,	,	PUNCT
fcis-32169	49	28	represent	represent	VERB
fcis-32169	49	29	the	the	DET
fcis-32169	49	30	th	th	PROPN
fcis-32169	49	31	sentence	sentence	NOUN
fcis-32169	49	32	fragment	fragment	NOUN
fcis-32169	49	33	sub	sub	NOUN
fcis-32169	49	34	-	-	NOUN
fcis-32169	49	35	sequence	sequence	NOUN
fcis-32169	49	36	for	for	ADP
fcis-32169	49	37	text	text	NOUN
fcis-32169	49	38	,	,	PUNCT
fcis-32169	49	39	audio	audio	NOUN
fcis-32169	49	40	,	,	PUNCT
fcis-32169	49	41	and	and	CCONJ
fcis-32169	49	42	face	face	VERB
fcis-32169	49	43	modalities	modality	NOUN
fcis-32169	49	44	respectively	respectively	ADV
fcis-32169	49	45	.	.	PUNCT
fcis-32169	50	1	each	each	DET
fcis-32169	50	2	modality	modality	NOUN
fcis-32169	50	3	is	be	AUX
fcis-32169	50	4	divided	divide	VERB
fcis-32169	50	5	into	into	ADP
fcis-32169	50	6	subsequence	subsequence	NOUN
fcis-32169	50	7	fragments	fragment	NOUN
fcis-32169	50	8	along	along	ADP
fcis-32169	50	9	the	the	DET
fcis-32169	50	10	sentence	sentence	NOUN
fcis-32169	50	11	sequence	sequence	NOUN
fcis-32169	50	12	dimension	dimension	NOUN
fcis-32169	50	13	,	,	PUNCT
fcis-32169	50	14	with	with	ADP
fcis-32169	50	15	each	each	DET
fcis-32169	50	16	fragment	fragment	NOUN
fcis-32169	50	17	having	have	VERB
fcis-32169	50	18	a	a	DET
fcis-32169	50	19	length	length	NOUN
fcis-32169	50	20	of	of	ADP
fcis-32169	50	21	,	,	PUNCT
fcis-32169	50	22	denote	denote	VERB
fcis-32169	50	23	the	the	DET
fcis-32169	50	24	sentence	sentence	NOUN
fcis-32169	50	25	feature	feature	NOUN
fcis-32169	50	26	dimensions	dimension	NOUN
fcis-32169	50	27	for	for	ADP
fcis-32169	50	28	each	each	DET
fcis-32169	50	29	modality	modality	NOUN
fcis-32169	50	30	.	.	PUNCT
fcis-32169	51	1	finally	finally	ADV
fcis-32169	51	2	,	,	PUNCT
fcis-32169	51	3	the	the	DET
fcis-32169	51	4	multimodal	multimodal	NOUN
fcis-32169	51	5	data	datum	NOUN
fcis-32169	51	6	aligned	align	VERB
fcis-32169	51	7	under	under	ADP
fcis-32169	51	8	the	the	DET
fcis-32169	51	9	same	same	ADJ
fcis-32169	51	10	fragment	fragment	NOUN
fcis-32169	51	11	index	index	NOUN
fcis-32169	51	12	are	be	AUX
fcis-32169	51	13	jointly	jointly	ADV
fcis-32169	51	14	input	input	VERB
fcis-32169	51	15	into	into	ADP
fcis-32169	51	16	a	a	DET
fcis-32169	51	17	single	single	ADJ
fcis-32169	51	18	,	,	PUNCT
fcis-32169	51	19	as	as	SCONJ
fcis-32169	51	20	shown	show	VERB
fcis-32169	51	21	in	in	ADP
fcis-32169	51	22	equation	equation	NOUN
fcis-32169	51	23	(	(	PUNCT
fcis-32169	51	24	7	7	NUM
fcis-32169	51	25	):	):	PUNCT
fcis-32169	51	26	2.2.2	2.2.2	NUM
fcis-32169	51	27	.	.	PUNCT
fcis-32169	51	28	dynamic	dynamic	ADJ
fcis-32169	51	29	multimodal	multimodal	NOUN
fcis-32169	51	30	split	split	VERB
fcis-32169	51	31	attention	attention	NOUN
fcis-32169	51	32	fusion	fusion	NOUN
fcis-32169	51	33	module	module	NOUN
fcis-32169	51	34	existing	exist	VERB
fcis-32169	51	35	research	research	NOUN
fcis-32169	51	36	indicates	indicate	VERB
fcis-32169	51	37	that	that	SCONJ
fcis-32169	51	38	text	text	NOUN
fcis-32169	51	39	,	,	PUNCT
fcis-32169	51	40	audio	audio	NOUN
fcis-32169	51	41	,	,	PUNCT
fcis-32169	51	42	and	and	CCONJ
fcis-32169	51	43	visual	visual	ADJ
fcis-32169	51	44	modalities	modality	NOUN
fcis-32169	51	45	contribute	contribute	VERB
fcis-32169	51	46	differently	differently	ADV
fcis-32169	51	47	to	to	ADP
fcis-32169	51	48	depression	depression	NOUN
fcis-32169	51	49	recognition	recognition	NOUN
fcis-32169	51	50	,	,	PUNCT
fcis-32169	51	51	yet	yet	CCONJ
fcis-32169	51	52	traditional	traditional	ADJ
fcis-32169	51	53	fusion	fusion	NOUN
fcis-32169	51	54	methods	method	NOUN
fcis-32169	51	55	often	often	ADV
fcis-32169	51	56	treat	treat	VERB
fcis-32169	51	57	them	they	PRON
fcis-32169	51	58	equally	equally	ADV
fcis-32169	51	59	,	,	PUNCT
fcis-32169	51	60	overlooking	overlook	VERB
fcis-32169	51	61	these	these	DET
fcis-32169	51	62	distinctions	distinction	NOUN
fcis-32169	51	63	.	.	PUNCT
fcis-32169	52	1	to	to	PART
fcis-32169	52	2	address	address	VERB
fcis-32169	52	3	this	this	PRON
fcis-32169	52	4	,	,	PUNCT
fcis-32169	52	5	this	this	DET
fcis-32169	52	6	study	study	NOUN
fcis-32169	52	7	proposes	propose	VERB
fcis-32169	52	8	the	the	DET
fcis-32169	52	9	dynamic	dynamic	ADJ
fcis-32169	52	10	multimodal	multimodal	NOUN
fcis-32169	52	11	split	split	VERB
fcis-32169	52	12	attention	attention	NOUN
fcis-32169	52	13	fusion	fusion	NOUN
fcis-32169	52	14	(	(	PUNCT
fcis-32169	52	15	dmsaf	dmsaf	NOUN
fcis-32169	52	16	)	)	PUNCT
fcis-32169	52	17	module	module	NOUN
fcis-32169	52	18	,	,	PUNCT
fcis-32169	52	19	as	as	SCONJ
fcis-32169	52	20	illustrated	illustrate	VERB
fcis-32169	52	21	in	in	ADP
fcis-32169	52	22	fig	fig	NOUN
fcis-32169	52	23	.	.	PUNCT
fcis-32169	53	1	3	3	X
fcis-32169	53	2	.	.	X
fcis-32169	53	3	the	the	DET
fcis-32169	53	4	dmsaf	dmsaf	PROPN
fcis-32169	53	5	module	module	NOUN
fcis-32169	53	6	adaptively	adaptively	ADV
fcis-32169	53	7	evaluates	evaluate	VERB
fcis-32169	53	8	the	the	DET
fcis-32169	53	9	importance	importance	NOUN
fcis-32169	53	10	of	of	ADP
fcis-32169	53	11	each	each	DET
fcis-32169	53	12	modality	modality	NOUN
fcis-32169	53	13	through	through	ADP
fcis-32169	53	14	learnable	learnable	ADJ
fcis-32169	53	15	modality	modality	NOUN
fcis-32169	53	16	weights	weight	NOUN
fcis-32169	53	17	,	,	PUNCT
fcis-32169	53	18	enhancing	enhance	VERB
fcis-32169	53	19	key	key	ADJ
fcis-32169	53	20	modalities	modality	NOUN
fcis-32169	53	21	and	and	CCONJ
fcis-32169	53	22	suppressing	suppress	VERB
fcis-32169	53	23	redundant	redundant	ADJ
fcis-32169	53	24	noise	noise	NOUN
fcis-32169	53	25	during	during	ADP
fcis-32169	53	26	fusion	fusion	NOUN
fcis-32169	53	27	to	to	PART
fcis-32169	53	28	improve	improve	VERB
fcis-32169	53	29	discriminative	discriminative	NOUN
fcis-32169	53	30	capability	capability	NOUN
fcis-32169	53	31	.	.	PUNCT
fcis-32169	54	1	for	for	ADP
fcis-32169	54	2	the	the	DET
fcis-32169	54	3	input	input	NOUN
fcis-32169	54	4	three	three	NUM
fcis-32169	54	5	-	-	PUNCT
fcis-32169	54	6	modal	modal	NOUN
fcis-32169	54	7	feature	feature	NOUN
fcis-32169	54	8	maps	map	NOUN
fcis-32169	54	9	,	,	PUNCT
fcis-32169	54	10	uniformly	uniformly	ADV
fcis-32169	54	11	denoted	denote	VERB
fcis-32169	54	12	as	as	ADP
fcis-32169	54	13	in	in	ADP
fcis-32169	54	14	this	this	DET
fcis-32169	54	15	section	section	NOUN
fcis-32169	54	16	,	,	PUNCT
fcis-32169	54	17	where	where	SCONJ
fcis-32169	54	18	represents	represent	VERB
fcis-32169	54	19	the	the	DET
fcis-32169	54	20	modal	modal	ADJ
fcis-32169	54	21	type	type	NOUN
fcis-32169	54	22	.	.	PUNCT
fcis-32169	55	1	first	first	ADV
fcis-32169	55	2	,	,	PUNCT
fcis-32169	55	3	the	the	DET
fcis-32169	55	4	features	feature	NOUN
fcis-32169	55	5	are	be	AUX
fcis-32169	55	6	partitioned	partition	VERB
fcis-32169	55	7	along	along	ADP
fcis-32169	55	8	the	the	DET
fcis-32169	55	9	channel	channel	NOUN
fcis-32169	55	10	dimension	dimension	NOUN
fcis-32169	55	11	,	,	PUNCT
fcis-32169	55	12	dividing	divide	VERB
fcis-32169	55	13	each	each	DET
fcis-32169	55	14	modal	modal	ADJ
fcis-32169	55	15	feature	feature	NOUN
fcis-32169	55	16	map	map	NOUN
fcis-32169	55	17	into	into	ADP
fcis-32169	55	18	several	several	ADJ
fcis-32169	55	19	subblocks	subblock	NOUN
fcis-32169	55	20	.	.	PUNCT
fcis-32169	56	1	if	if	SCONJ
fcis-32169	56	2	the	the	DET
fcis-32169	56	3	number	number	NOUN
fcis-32169	56	4	of	of	ADP
fcis-32169	56	5	channels	channel	NOUN
fcis-32169	56	6	can	can	AUX
fcis-32169	56	7	not	not	PART
fcis-32169	56	8	be	be	AUX
fcis-32169	56	9	evenly	evenly	ADV
fcis-32169	56	10	divided	divide	VERB
fcis-32169	56	11	,	,	PUNCT
fcis-32169	56	12	zero	zero	NUM
fcis-32169	56	13	padding	padding	NOUN
fcis-32169	56	14	is	be	AUX
fcis-32169	56	15	applied	apply	VERB
fcis-32169	56	16	at	at	ADP
fcis-32169	56	17	the	the	DET
fcis-32169	56	18	end	end	NOUN
fcis-32169	56	19	.	.	PUNCT
fcis-32169	57	1	as	as	SCONJ
fcis-32169	57	2	shown	show	VERB
fcis-32169	57	3	in	in	ADP
fcis-32169	57	4	equation	equation	NOUN
fcis-32169	57	5	(	(	PUNCT
fcis-32169	57	6	8)	8)	NUM
fcis-32169	57	7	:	:	PUNCT
fcis-32169	57	8	here	here	ADV
fcis-32169	57	9	,	,	PUNCT
fcis-32169	57	10	denotes	denote	VERB
fcis-32169	57	11	the	the	DET
fcis-32169	57	12	th	th	PROPN
fcis-32169	57	13	channel	channel	NOUN
fcis-32169	57	14	block	block	NOUN
fcis-32169	57	15	of	of	ADP
fcis-32169	57	16	modality	modality	NOUN
fcis-32169	57	17	,	,	PUNCT
fcis-32169	57	18	and	and	CCONJ
fcis-32169	57	19	represents	represent	VERB
fcis-32169	57	20	the	the	DET
fcis-32169	57	21	number	number	NOUN
fcis-32169	57	22	of	of	ADP
fcis-32169	57	23	sub	sub	NOUN
fcis-32169	57	24	-	-	NOUN
fcis-32169	57	25	blocks	block	NOUN
fcis-32169	57	26	.	.	PUNCT
fcis-32169	58	1	to	to	PART
fcis-32169	58	2	aggregate	aggregate	VERB
fcis-32169	58	3	cross	cross	ADJ
fcis-32169	58	4	-	-	ADJ
fcis-32169	58	5	modality	modality	ADJ
fcis-32169	58	6	contextual	contextual	ADJ
fcis-32169	58	7	information	information	NOUN
fcis-32169	58	8	,	,	PUNCT
fcis-32169	58	9	we	we	PRON
fcis-32169	58	10	first	first	ADV
fcis-32169	58	11	perform	perform	VERB
fcis-32169	58	12	element	element	ADJ
fcis-32169	58	13	-	-	ADJ
fcis-32169	58	14	wise	wise	ADJ
fcis-32169	58	15	summation	summation	NOUN
fcis-32169	58	16	across	across	ADP
fcis-32169	58	17	all	all	DET
fcis-32169	58	18	channel	channel	NOUN
fcis-32169	58	19	blocks	block	NOUN
fcis-32169	58	20	within	within	ADP
fcis-32169	58	21	each	each	DET
fcis-32169	58	22	modality	modality	NOUN
fcis-32169	58	23	,	,	PUNCT
fcis-32169	58	24	yielding	yield	VERB
fcis-32169	58	25	the	the	DET
fcis-32169	58	26	modality	modality	NOUN
fcis-32169	58	27	-	-	PUNCT
fcis-32169	58	28	level	level	NOUN
fcis-32169	58	29	summary	summary	NOUN
fcis-32169	58	30	matrix	matrix	NOUN
fcis-32169	58	31	as	as	SCONJ
fcis-32169	58	32	shown	show	VERB
fcis-32169	58	33	in	in	ADP
fcis-32169	58	34	equation	equation	NOUN
fcis-32169	58	35	(	(	PUNCT
fcis-32169	58	36	9	9	NUM
fcis-32169	58	37	)	)	PUNCT
fcis-32169	58	38	.	.	PUNCT
fcis-32169	59	1	subsequently	subsequently	ADV
fcis-32169	59	2	,	,	PUNCT
fcis-32169	59	3	global	global	ADJ
fcis-32169	59	4	average	average	ADJ
fcis-32169	59	5	pooling	pooling	NOUN
fcis-32169	59	6	is	be	AUX
fcis-32169	59	7	applied	apply	VERB
fcis-32169	59	8	at	at	ADP
fcis-32169	59	9	the	the	DET
fcis-32169	59	10	sentence	sentence	NOUN
fcis-32169	59	11	dimension	dimension	NOUN
fcis-32169	59	12	to	to	PART
fcis-32169	59	13	obtain	obtain	VERB
fcis-32169	59	14	the	the	DET
fcis-32169	59	15	modality	modality	NOUN
fcis-32169	59	16	descriptor	descriptor	NOUN
fcis-32169	59	17	as	as	SCONJ
fcis-32169	59	18	shown	show	VERB
fcis-32169	59	19	in	in	ADP
fcis-32169	59	20	equation	equation	NOUN
fcis-32169	59	21	(	(	PUNCT
fcis-32169	59	22	10	10	NUM
fcis-32169	59	23	)	)	PUNCT
fcis-32169	59	24	.	.	PUNCT
fcis-32169	60	1	62	62	NUM
fcis-32169	60	2	fig	fig	NOUN
fcis-32169	60	3	3	3	NUM
fcis-32169	60	4	.	.	PUNCT
fcis-32169	60	5	dynamic	dynamic	ADJ
fcis-32169	60	6	multimodal	multimodal	NOUN
fcis-32169	60	7	split	split	VERB
fcis-32169	60	8	attention	attention	NOUN
fcis-32169	60	9	fusion	fusion	NOUN
fcis-32169	60	10	module	module	NOUN
fcis-32169	60	11	here	here	ADV
fcis-32169	60	12	,	,	PUNCT
fcis-32169	60	13	denotes	denote	VERB
fcis-32169	60	14	the	the	DET
fcis-32169	60	15	channel	channel	NOUN
fcis-32169	60	16	index	index	NOUN
fcis-32169	60	17	,	,	PUNCT
fcis-32169	60	18	and	and	CCONJ
fcis-32169	60	19	denotes	denote	VERB
fcis-32169	60	20	the	the	DET
fcis-32169	60	21	sentence	sentence	NOUN
fcis-32169	60	22	index	index	NOUN
fcis-32169	60	23	.	.	PUNCT
fcis-32169	61	1	subsequently	subsequently	ADV
fcis-32169	61	2	,	,	PUNCT
fcis-32169	61	3	dmsaf	dmsaf	PROPN
fcis-32169	61	4	assigns	assign	NOUN
fcis-32169	61	5	learnable	learnable	ADJ
fcis-32169	61	6	parameters	parameter	NOUN
fcis-32169	61	7	to	to	ADP
fcis-32169	61	8	each	each	DET
fcis-32169	61	9	modality	modality	NOUN
fcis-32169	61	10	and	and	CCONJ
fcis-32169	61	11	normalizes	normalize	VERB
fcis-32169	61	12	them	they	PRON
fcis-32169	61	13	via	via	ADP
fcis-32169	61	14	softmax	softmax	NOUN
fcis-32169	61	15	to	to	PART
fcis-32169	61	16	obtain	obtain	VERB
fcis-32169	61	17	modality	modality	NOUN
fcis-32169	61	18	importance	importance	NOUN
fcis-32169	61	19	coefficients	coefficient	NOUN
fcis-32169	61	20	,	,	PUNCT
fcis-32169	61	21	as	as	SCONJ
fcis-32169	61	22	shown	show	VERB
fcis-32169	61	23	in	in	ADP
fcis-32169	61	24	equation	equation	NOUN
fcis-32169	61	25	(	(	PUNCT
fcis-32169	61	26	11	11	NUM
fcis-32169	61	27	)	)	PUNCT
fcis-32169	61	28	.	.	PUNCT
fcis-32169	62	1	finally	finally	ADV
fcis-32169	62	2	,	,	PUNCT
fcis-32169	62	3	the	the	DET
fcis-32169	62	4	cross	cross	ADJ
fcis-32169	62	5	-	-	ADJ
fcis-32169	62	6	modal	modal	ADJ
fcis-32169	62	7	joint	joint	ADJ
fcis-32169	62	8	description	description	NOUN
fcis-32169	62	9	representation	representation	NOUN
fcis-32169	62	10	is	be	AUX
fcis-32169	62	11	obtained	obtain	VERB
fcis-32169	62	12	,	,	PUNCT
fcis-32169	62	13	as	as	SCONJ
fcis-32169	62	14	shown	show	VERB
fcis-32169	62	15	in	in	ADP
fcis-32169	62	16	equation	equation	NOUN
fcis-32169	62	17	(	(	PUNCT
fcis-32169	62	18	12	12	NUM
fcis-32169	62	19	):	):	PUNCT
fcis-32169	62	20	the	the	DET
fcis-32169	62	21	weighted	weight	VERB
fcis-32169	62	22	fusion	fusion	NOUN
fcis-32169	62	23	of	of	ADP
fcis-32169	62	24	global	global	ADJ
fcis-32169	62	25	representations	representation	NOUN
fcis-32169	62	26	is	be	AUX
fcis-32169	62	27	subsequently	subsequently	ADV
fcis-32169	62	28	fed	feed	VERB
fcis-32169	62	29	into	into	ADP
fcis-32169	62	30	a	a	DET
fcis-32169	62	31	fully	fully	ADV
fcis-32169	62	32	connected	connect	VERB
fcis-32169	62	33	layer	layer	NOUN
fcis-32169	62	34	for	for	ADP
fcis-32169	62	35	nonlinear	nonlinear	ADJ
fcis-32169	62	36	transformation	transformation	NOUN
fcis-32169	62	37	,	,	PUNCT
fcis-32169	62	38	yielding	yield	VERB
fcis-32169	62	39	the	the	DET
fcis-32169	62	40	reduced	reduce	VERB
fcis-32169	62	41	-	-	PUNCT
fcis-32169	62	42	dimensional	dimensional	ADJ
fcis-32169	62	43	joint	joint	ADJ
fcis-32169	62	44	representation	representation	NOUN
fcis-32169	62	45	as	as	SCONJ
fcis-32169	62	46	shown	show	VERB
fcis-32169	62	47	in	in	ADP
fcis-32169	62	48	equation	equation	NOUN
fcis-32169	62	49	(	(	PUNCT
fcis-32169	62	50	13	13	NUM
fcis-32169	62	51	):	):	PUNCT
fcis-32169	62	52	where	where	SCONJ
fcis-32169	62	53	and	and	CCONJ
fcis-32169	62	54	represent	represent	VERB
fcis-32169	62	55	the	the	DET
fcis-32169	62	56	dimensionality	dimensionality	NOUN
fcis-32169	62	57	reduction	reduction	NOUN
fcis-32169	62	58	factor	factor	NOUN
fcis-32169	62	59	.	.	PUNCT
fcis-32169	63	1	this	this	DET
fcis-32169	63	2	operation	operation	NOUN
fcis-32169	63	3	reduces	reduce	VERB
fcis-32169	63	4	redundant	redundant	ADJ
fcis-32169	63	5	information	information	NOUN
fcis-32169	63	6	and	and	CCONJ
fcis-32169	63	7	parameter	parameter	NOUN
fcis-32169	63	8	size	size	NOUN
fcis-32169	63	9	by	by	ADP
fcis-32169	63	10	compressing	compress	VERB
fcis-32169	63	11	feature	feature	NOUN
fcis-32169	63	12	dimensions	dimension	NOUN
fcis-32169	63	13	,	,	PUNCT
fcis-32169	63	14	thereby	thereby	ADV
fcis-32169	63	15	mitigating	mitigate	VERB
fcis-32169	63	16	overfitting	overfitte	VERB
fcis-32169	63	17	and	and	CCONJ
fcis-32169	63	18	improving	improve	VERB
fcis-32169	63	19	computational	computational	ADJ
fcis-32169	63	20	efficiency	efficiency	NOUN
fcis-32169	63	21	.	.	PUNCT
fcis-32169	64	1	based	base	VERB
fcis-32169	64	2	on	on	ADP
fcis-32169	64	3	the	the	DET
fcis-32169	64	4	compressed	compress	VERB
fcis-32169	64	5	representation	representation	NOUN
fcis-32169	64	6	,	,	PUNCT
fcis-32169	64	7	for	for	ADP
fcis-32169	64	8	each	each	DET
fcis-32169	64	9	channel	channel	NOUN
fcis-32169	64	10	block	block	NOUN
fcis-32169	64	11	,	,	PUNCT
fcis-32169	64	12	compute	compute	VERB
fcis-32169	64	13	its	its	PRON
fcis-32169	64	14	original	original	ADJ
fcis-32169	64	15	score	score	NOUN
fcis-32169	64	16	vector	vector	NOUN
fcis-32169	64	17	as	as	SCONJ
fcis-32169	64	18	shown	show	VERB
fcis-32169	64	19	in	in	ADP
fcis-32169	64	20	equation	equation	NOUN
fcis-32169	64	21	(	(	PUNCT
fcis-32169	64	22	14	14	NUM
fcis-32169	64	23	)	)	PUNCT
fcis-32169	64	24	,	,	PUNCT
fcis-32169	64	25	and	and	CCONJ
fcis-32169	64	26	then	then	ADV
fcis-32169	64	27	use	use	VERB
fcis-32169	64	28	softmax	softmax	NOUN
fcis-32169	64	29	to	to	PART
fcis-32169	64	30	obtain	obtain	VERB
fcis-32169	64	31	the	the	DET
fcis-32169	64	32	block	block	NOUN
fcis-32169	64	33	-	-	PUNCT
fcis-32169	64	34	level	level	NOUN
fcis-32169	64	35	attention	attention	NOUN
fcis-32169	64	36	weights	weight	NOUN
fcis-32169	64	37	as	as	SCONJ
fcis-32169	64	38	shown	show	VERB
fcis-32169	64	39	in	in	ADP
fcis-32169	64	40	equation	equation	NOUN
fcis-32169	64	41	(	(	PUNCT
fcis-32169	64	42	15	15	NUM
fcis-32169	64	43	):	):	PUNCT
fcis-32169	64	44	63	63	NUM
fcis-32169	64	45	where	where	SCONJ
fcis-32169	64	46	represents	represent	VERB
fcis-32169	64	47	learnable	learnable	ADJ
fcis-32169	64	48	parameters	parameter	NOUN
fcis-32169	64	49	.	.	PUNCT
fcis-32169	65	1	to	to	PART
fcis-32169	65	2	prevent	prevent	VERB
fcis-32169	65	3	excessive	excessive	ADJ
fcis-32169	65	4	suppression	suppression	NOUN
fcis-32169	65	5	of	of	ADP
fcis-32169	65	6	low	low	ADJ
fcis-32169	65	7	-	-	PUNCT
fcis-32169	65	8	weight	weight	NOUN
fcis-32169	65	9	blocks	block	NOUN
fcis-32169	65	10	,	,	PUNCT
fcis-32169	65	11	a	a	DET
fcis-32169	65	12	regularization	regularization	NOUN
fcis-32169	65	13	factor	factor	NOUN
fcis-32169	65	14	is	be	AUX
fcis-32169	65	15	introduced	introduce	VERB
fcis-32169	65	16	.	.	PUNCT
fcis-32169	66	1	the	the	DET
fcis-32169	66	2	optimized	optimize	VERB
fcis-32169	66	3	channel	channel	NOUN
fcis-32169	66	4	block	block	NOUN
fcis-32169	66	5	representation	representation	NOUN
fcis-32169	66	6	is	be	AUX
fcis-32169	66	7	shown	show	VERB
fcis-32169	66	8	in	in	ADP
fcis-32169	66	9	equation	equation	NOUN
fcis-32169	66	10	(	(	PUNCT
fcis-32169	66	11	16	16	NUM
fcis-32169	66	12	)	)	PUNCT
fcis-32169	66	13	.	.	PUNCT
fcis-32169	67	1	finally	finally	ADV
fcis-32169	67	2	,	,	PUNCT
fcis-32169	67	3	all	all	DET
fcis-32169	67	4	optimized	optimize	VERB
fcis-32169	67	5	channel	channel	NOUN
fcis-32169	67	6	blocks	block	NOUN
fcis-32169	67	7	are	be	AUX
fcis-32169	67	8	concatenated	concatenate	VERB
fcis-32169	67	9	along	along	ADP
fcis-32169	67	10	the	the	DET
fcis-32169	67	11	channel	channel	NOUN
fcis-32169	67	12	dimension	dimension	NOUN
fcis-32169	67	13	to	to	PART
fcis-32169	67	14	obtain	obtain	VERB
fcis-32169	67	15	the	the	DET
fcis-32169	67	16	optimized	optimize	VERB
fcis-32169	67	17	modal	modal	ADJ
fcis-32169	67	18	feature	feature	NOUN
fcis-32169	67	19	,	,	PUNCT
fcis-32169	67	20	as	as	SCONJ
fcis-32169	67	21	shown	show	VERB
fcis-32169	67	22	in	in	ADP
fcis-32169	67	23	equation	equation	NOUN
fcis-32169	67	24	(	(	PUNCT
fcis-32169	67	25	17	17	NUM
fcis-32169	67	26	):	):	PUNCT
fcis-32169	67	27	3	3	NUM
fcis-32169	67	28	.	.	X
fcis-32169	67	29	experimental	experimental	ADJ
fcis-32169	67	30	data	datum	NOUN
fcis-32169	67	31	3.1	3.1	NUM
fcis-32169	67	32	.	.	PUNCT
fcis-32169	68	1	datasets	dataset	NOUN
fcis-32169	68	2	this	this	DET
fcis-32169	68	3	study	study	NOUN
fcis-32169	68	4	utilizes	utilize	VERB
fcis-32169	68	5	the	the	DET
fcis-32169	68	6	chinese	chinese	ADJ
fcis-32169	68	7	depression	depression	NOUN
fcis-32169	68	8	dataset	dataset	NOUN
fcis-32169	68	9	mdd2025	mdd2025	NOUN
fcis-32169	68	10	,	,	PUNCT
fcis-32169	68	11	constructed	construct	VERB
fcis-32169	68	12	in	in	ADP
fcis-32169	68	13	collaboration	collaboration	NOUN
fcis-32169	68	14	with	with	ADP
fcis-32169	68	15	local	local	ADJ
fcis-32169	68	16	hospitals	hospital	NOUN
fcis-32169	68	17	,	,	PUNCT
fcis-32169	68	18	and	and	CCONJ
fcis-32169	68	19	incorporates	incorporate	VERB
fcis-32169	68	20	the	the	DET
fcis-32169	68	21	public	public	ADJ
fcis-32169	68	22	dataset	dataset	VERB
fcis-32169	68	23	daic	daic	PROPN
fcis-32169	68	24	-	-	PUNCT
fcis-32169	68	25	woz	woz	PROPN
fcis-32169	68	26	for	for	ADP
fcis-32169	68	27	comparative	comparative	ADJ
fcis-32169	68	28	validation	validation	NOUN
fcis-32169	68	29	.	.	PUNCT
fcis-32169	69	1	mdd2025	mdd2025	NOUN
fcis-32169	69	2	was	be	AUX
fcis-32169	69	3	collected	collect	VERB
fcis-32169	69	4	through	through	ADP
fcis-32169	69	5	clinical	clinical	ADJ
fcis-32169	69	6	interviews	interview	NOUN
fcis-32169	69	7	by	by	ADP
fcis-32169	69	8	professional	professional	ADJ
fcis-32169	69	9	psychiatrists	psychiatrist	NOUN
fcis-32169	69	10	,	,	PUNCT
fcis-32169	69	11	with	with	ADP
fcis-32169	69	12	patients	patient	NOUN
fcis-32169	69	13	completing	complete	VERB
fcis-32169	69	14	consultations	consultation	NOUN
fcis-32169	69	15	in	in	ADP
fcis-32169	69	16	private	private	ADJ
fcis-32169	69	17	rooms	room	NOUN
fcis-32169	69	18	after	after	ADP
fcis-32169	69	19	signing	sign	VERB
fcis-32169	69	20	informed	informed	ADJ
fcis-32169	69	21	consent	consent	NOUN
fcis-32169	69	22	forms	form	NOUN
fcis-32169	69	23	.	.	PUNCT
fcis-32169	70	1	after	after	ADP
fcis-32169	70	2	excluding	exclude	VERB
fcis-32169	70	3	invalid	invalid	ADJ
fcis-32169	70	4	data	datum	NOUN
fcis-32169	70	5	—	—	PUNCT
fcis-32169	70	6	including	include	VERB
fcis-32169	70	7	videos	video	NOUN
fcis-32169	70	8	shorter	short	ADJ
fcis-32169	70	9	than	than	ADP
fcis-32169	70	10	three	three	NUM
fcis-32169	70	11	minutes	minute	NOUN
fcis-32169	70	12	,	,	PUNCT
fcis-32169	70	13	missing	miss	VERB
fcis-32169	70	14	scale	scale	NOUN
fcis-32169	70	15	scores	score	NOUN
fcis-32169	70	16	,	,	PUNCT
fcis-32169	70	17	or	or	CCONJ
fcis-32169	70	18	cases	case	NOUN
fcis-32169	70	19	without	without	ADP
fcis-32169	70	20	detectable	detectable	ADJ
fcis-32169	70	21	facial	facial	ADJ
fcis-32169	70	22	information	information	NOUN
fcis-32169	70	23	—	—	PUNCT
fcis-32169	70	24	the	the	DET
fcis-32169	70	25	dataset	dataset	NOUN
fcis-32169	70	26	comprised	comprise	VERB
fcis-32169	70	27	522	522	NUM
fcis-32169	70	28	valid	valid	ADJ
fcis-32169	70	29	samples	sample	NOUN
fcis-32169	70	30	:	:	PUNCT
fcis-32169	70	31	212	212	NUM
fcis-32169	70	32	males	male	NOUN
fcis-32169	70	33	and	and	CCONJ
fcis-32169	70	34	310	310	NUM
fcis-32169	70	35	females	female	NOUN
fcis-32169	70	36	.	.	PUNCT
fcis-32169	71	1	daic	daic	PROPN
fcis-32169	71	2	-	-	PUNCT
fcis-32169	71	3	woz	woz	PROPN
fcis-32169	71	4	is	be	AUX
fcis-32169	71	5	an	an	DET
fcis-32169	71	6	international	international	ADJ
fcis-32169	71	7	public	public	ADJ
fcis-32169	71	8	dataset	dataset	NOUN
fcis-32169	71	9	containing	contain	VERB
fcis-32169	71	10	audio	audio	NOUN
fcis-32169	71	11	,	,	PUNCT
fcis-32169	71	12	video	video	NOUN
fcis-32169	71	13	,	,	PUNCT
fcis-32169	71	14	transcribed	transcribed	NOUN
fcis-32169	71	15	text	text	NOUN
fcis-32169	71	16	,	,	PUNCT
fcis-32169	71	17	and	and	CCONJ
fcis-32169	71	18	scale	scale	NOUN
fcis-32169	71	19	scores	score	NOUN
fcis-32169	71	20	.	.	PUNCT
fcis-32169	72	1	this	this	DET
fcis-32169	72	2	study	study	NOUN
fcis-32169	72	3	classified	classify	VERB
fcis-32169	72	4	participants	participant	NOUN
fcis-32169	72	5	with	with	ADP
fcis-32169	72	6	phq-8	phq-8	PUNCT
fcis-32169	72	7	scores	score	NOUN
fcis-32169	72	8	≥9	≥9	PROPN
fcis-32169	72	9	as	as	ADP
fcis-32169	72	10	the	the	DET
fcis-32169	72	11	depression	depression	NOUN
fcis-32169	72	12	group	group	NOUN
fcis-32169	72	13	and	and	CCONJ
fcis-32169	72	14	the	the	DET
fcis-32169	72	15	remainder	remainder	NOUN
fcis-32169	72	16	as	as	ADP
fcis-32169	72	17	the	the	DET
fcis-32169	72	18	non	non	ADJ
fcis-32169	72	19	-	-	ADJ
fcis-32169	72	20	depression	depression	ADJ
fcis-32169	72	21	group	group	NOUN
fcis-32169	72	22	,	,	PUNCT
fcis-32169	72	23	based	base	VERB
fcis-32169	72	24	on	on	ADP
fcis-32169	72	25	the	the	DET
fcis-32169	72	26	phq-8	phq-8	PUNCT
fcis-32169	72	27	scale[18	scale[18	PROPN
fcis-32169	72	28	]	]	PUNCT
fcis-32169	72	29	.	.	PUNCT
fcis-32169	73	1	the	the	DET
fcis-32169	73	2	depression	depression	NOUN
fcis-32169	73	3	group	group	NOUN
fcis-32169	73	4	comprised	comprise	VERB
fcis-32169	73	5	334	334	NUM
fcis-32169	73	6	individuals	individual	NOUN
fcis-32169	73	7	,	,	PUNCT
fcis-32169	73	8	and	and	CCONJ
fcis-32169	73	9	the	the	DET
fcis-32169	73	10	non	non	ADJ
fcis-32169	73	11	-	-	ADJ
fcis-32169	73	12	depression	depression	ADJ
fcis-32169	73	13	group	group	NOUN
fcis-32169	73	14	comprised	comprise	VERB
fcis-32169	73	15	188	188	NUM
fcis-32169	73	16	individuals	individual	NOUN
fcis-32169	73	17	.	.	PUNCT
fcis-32169	74	1	3.2	3.2	NUM
fcis-32169	74	2	.	.	PUNCT
fcis-32169	74	3	data	datum	NOUN
fcis-32169	74	4	preprocessing	preprocesse	VERB
fcis-32169	74	5	the	the	DET
fcis-32169	74	6	mdd2025	mdd2025	NOUN
fcis-32169	74	7	and	and	CCONJ
fcis-32169	74	8	daic	daic	PROPN
fcis-32169	74	9	-	-	PUNCT
fcis-32169	74	10	woz	woz	PROPN
fcis-32169	74	11	datasets	dataset	NOUN
fcis-32169	74	12	comprise	comprise	VERB
fcis-32169	74	13	522	522	NUM
fcis-32169	74	14	and	and	CCONJ
fcis-32169	74	15	192	192	NUM
fcis-32169	74	16	samples	sample	NOUN
fcis-32169	74	17	respectively	respectively	ADV
fcis-32169	74	18	,	,	PUNCT
fcis-32169	74	19	with	with	ADP
fcis-32169	74	20	334	334	NUM
fcis-32169	74	21	and	and	CCONJ
fcis-32169	74	22	74	74	NUM
fcis-32169	74	23	depressionpositive	depressionpositive	ADJ
fcis-32169	74	24	cases	case	NOUN
fcis-32169	74	25	.	.	PUNCT
fcis-32169	75	1	both	both	DET
fcis-32169	75	2	datasets	dataset	NOUN
fcis-32169	75	3	were	be	AUX
fcis-32169	75	4	split	split	VERB
fcis-32169	75	5	into	into	ADP
fcis-32169	75	6	training	training	NOUN
fcis-32169	75	7	and	and	CCONJ
fcis-32169	75	8	testing	testing	NOUN
fcis-32169	75	9	sets	set	NOUN
fcis-32169	75	10	at	at	ADP
fcis-32169	75	11	an	an	DET
fcis-32169	75	12	8:2	8:2	NUM
fcis-32169	75	13	ratio	ratio	NOUN
fcis-32169	75	14	to	to	PART
fcis-32169	75	15	maintain	maintain	VERB
fcis-32169	75	16	class	class	NOUN
fcis-32169	75	17	balance	balance	NOUN
fcis-32169	75	18	.	.	PUNCT
fcis-32169	76	1	to	to	PART
fcis-32169	76	2	mitigate	mitigate	VERB
fcis-32169	76	3	class	class	NOUN
fcis-32169	76	4	imbalance	imbalance	NOUN
fcis-32169	76	5	,	,	PUNCT
fcis-32169	76	6	class	class	NOUN
fcis-32169	76	7	weights	weight	NOUN
fcis-32169	76	8	were	be	AUX
fcis-32169	76	9	introduced	introduce	VERB
fcis-32169	76	10	using	use	VERB
fcis-32169	76	11	the	the	DET
fcis-32169	76	12	formula	formula	NOUN
fcis-32169	76	13	in	in	ADP
fcis-32169	76	14	(	(	PUNCT
fcis-32169	76	15	18	18	NUM
fcis-32169	76	16	):	):	PUNCT
fcis-32169	76	17	where	where	SCONJ
fcis-32169	76	18	denotes	denote	VERB
fcis-32169	76	19	the	the	DET
fcis-32169	76	20	total	total	ADJ
fcis-32169	76	21	number	number	NOUN
fcis-32169	76	22	of	of	ADP
fcis-32169	76	23	samples	sample	NOUN
fcis-32169	76	24	in	in	ADP
fcis-32169	76	25	the	the	DET
fcis-32169	76	26	training	training	NOUN
fcis-32169	76	27	set	set	NOUN
fcis-32169	76	28	;	;	PUNCT
fcis-32169	76	29	and	and	CCONJ
fcis-32169	76	30	represent	represent	VERB
fcis-32169	76	31	the	the	DET
fcis-32169	76	32	number	number	NOUN
fcis-32169	76	33	of	of	ADP
fcis-32169	76	34	negative	negative	ADJ
fcis-32169	76	35	and	and	CCONJ
fcis-32169	76	36	positive	positive	ADJ
fcis-32169	76	37	samples	sample	NOUN
fcis-32169	76	38	in	in	ADP
fcis-32169	76	39	the	the	DET
fcis-32169	76	40	training	training	NOUN
fcis-32169	76	41	set	set	NOUN
fcis-32169	76	42	,	,	PUNCT
fcis-32169	76	43	respectively	respectively	ADV
fcis-32169	76	44	.	.	PUNCT
fcis-32169	77	1	3.3	3.3	NUM
fcis-32169	77	2	.	.	PUNCT
fcis-32169	78	1	multimodal	multimodal	NOUN
fcis-32169	78	2	feature	feature	NOUN
fcis-32169	78	3	extraction	extraction	NOUN
fcis-32169	78	4	3.3.1	3.3.1	NUM
fcis-32169	78	5	.	.	PUNCT
fcis-32169	78	6	temporal	temporal	ADJ
fcis-32169	78	7	facial	facial	ADJ
fcis-32169	78	8	feature	feature	NOUN
fcis-32169	78	9	extraction	extraction	NOUN
fcis-32169	78	10	to	to	PART
fcis-32169	78	11	ensure	ensure	VERB
fcis-32169	78	12	temporal	temporal	ADJ
fcis-32169	78	13	alignment	alignment	NOUN
fcis-32169	78	14	between	between	ADP
fcis-32169	78	15	facial	facial	ADJ
fcis-32169	78	16	features	feature	NOUN
fcis-32169	78	17	and	and	CCONJ
fcis-32169	78	18	speech	speech	NOUN
fcis-32169	78	19	/	/	SYM
fcis-32169	78	20	text	text	NOUN
fcis-32169	78	21	modalities	modality	NOUN
fcis-32169	78	22	,	,	PUNCT
fcis-32169	78	23	the	the	DET
fcis-32169	78	24	raw	raw	ADJ
fcis-32169	78	25	video	video	NOUN
fcis-32169	78	26	is	be	AUX
fcis-32169	78	27	segmented	segment	VERB
fcis-32169	78	28	by	by	ADP
fcis-32169	78	29	sentence	sentence	NOUN
fcis-32169	78	30	-	-	PUNCT
fcis-32169	78	31	level	level	NOUN
fcis-32169	78	32	timestamps	timestamp	NOUN
fcis-32169	78	33	and	and	CCONJ
fcis-32169	78	34	standardized	standardize	VERB
fcis-32169	78	35	,	,	PUNCT
fcis-32169	78	36	while	while	SCONJ
fcis-32169	78	37	frames	frame	NOUN
fcis-32169	78	38	lacking	lack	VERB
fcis-32169	78	39	speech	speech	NOUN
fcis-32169	78	40	activity	activity	NOUN
fcis-32169	78	41	or	or	CCONJ
fcis-32169	78	42	containing	contain	VERB
fcis-32169	78	43	occlusions	occlusion	NOUN
fcis-32169	78	44	are	be	AUX
fcis-32169	78	45	discarded	discard	VERB
fcis-32169	78	46	.	.	PUNCT
fcis-32169	79	1	openface	openface	PROPN
fcis-32169	79	2	is	be	AUX
fcis-32169	79	3	employed	employ	VERB
fcis-32169	79	4	for	for	ADP
fcis-32169	79	5	frame	frame	NOUN
fcis-32169	79	6	-	-	PUNCT
fcis-32169	79	7	level	level	NOUN
fcis-32169	79	8	analysis	analysis	NOUN
fcis-32169	79	9	of	of	ADP
fcis-32169	79	10	video	video	NOUN
fcis-32169	79	11	segments	segment	NOUN
fcis-32169	79	12	,	,	PUNCT
fcis-32169	79	13	extracting	extract	VERB
fcis-32169	79	14	multidimensional	multidimensional	ADJ
fcis-32169	79	15	temporal	temporal	ADJ
fcis-32169	79	16	features	feature	NOUN
fcis-32169	79	17	including	include	VERB
fcis-32169	79	18	head	head	NOUN
fcis-32169	79	19	pose	pose	VERB
fcis-32169	79	20	,	,	PUNCT
fcis-32169	79	21	eye	eye	NOUN
fcis-32169	79	22	gaze	gaze	NOUN
fcis-32169	79	23	direction	direction	NOUN
fcis-32169	79	24	,	,	PUNCT
fcis-32169	79	25	facial	facial	ADJ
fcis-32169	79	26	action	action	NOUN
fcis-32169	79	27	units	unit	NOUN
fcis-32169	79	28	(	(	PUNCT
fcis-32169	79	29	aus	aus	PROPN
fcis-32169	79	30	)	)	PUNCT
fcis-32169	79	31	,	,	PUNCT
fcis-32169	79	32	and	and	CCONJ
fcis-32169	79	33	coordinates	coordinate	NOUN
fcis-32169	79	34	of	of	ADP
fcis-32169	79	35	68	68	NUM
fcis-32169	79	36	facial	facial	ADJ
fcis-32169	79	37	landmarks	landmark	NOUN
fcis-32169	79	38	.	.	PUNCT
fcis-32169	80	1	a	a	DET
fcis-32169	80	2	time	time	NOUN
fcis-32169	80	3	step	step	NOUN
fcis-32169	80	4	of	of	ADP
fcis-32169	80	5	0.033	0.033	NUM
fcis-32169	80	6	seconds	second	NOUN
fcis-32169	80	7	is	be	AUX
fcis-32169	80	8	adopted	adopt	VERB
fcis-32169	80	9	to	to	PART
fcis-32169	80	10	enhance	enhance	VERB
fcis-32169	80	11	feature	feature	NOUN
fcis-32169	80	12	extraction	extraction	NOUN
fcis-32169	80	13	accuracy	accuracy	NOUN
fcis-32169	80	14	and	and	CCONJ
fcis-32169	80	15	efficiency	efficiency	NOUN
fcis-32169	80	16	.	.	PUNCT
fcis-32169	81	1	3.3.2	3.3.2	X
fcis-32169	81	2	.	.	X
fcis-32169	81	3	audio	audio	ADJ
fcis-32169	81	4	feature	feature	NOUN
fcis-32169	81	5	extraction	extraction	NOUN
fcis-32169	81	6	audio	audio	NOUN
fcis-32169	81	7	data	datum	NOUN
fcis-32169	81	8	is	be	AUX
fcis-32169	81	9	segmented	segment	VERB
fcis-32169	81	10	into	into	ADP
fcis-32169	81	11	speech	speech	NOUN
fcis-32169	81	12	clips	clip	NOUN
fcis-32169	81	13	based	base	VERB
fcis-32169	81	14	on	on	ADP
fcis-32169	81	15	sentence	sentence	NOUN
fcis-32169	81	16	-	-	PUNCT
fcis-32169	81	17	level	level	NOUN
fcis-32169	81	18	timestamps	timestamp	NOUN
fcis-32169	81	19	.	.	PUNCT
fcis-32169	82	1	opensmile	opensmile	NOUN
fcis-32169	82	2	is	be	AUX
fcis-32169	82	3	employed	employ	VERB
fcis-32169	82	4	to	to	PART
fcis-32169	82	5	extract	extract	VERB
fcis-32169	82	6	emotion	emotion	NOUN
fcis-32169	82	7	-	-	PUNCT
fcis-32169	82	8	related	relate	VERB
fcis-32169	82	9	acoustic	acoustic	ADJ
fcis-32169	82	10	features	feature	NOUN
fcis-32169	82	11	,	,	PUNCT
fcis-32169	82	12	utilizing	utilize	VERB
fcis-32169	82	13	the	the	DET
fcis-32169	82	14	egemaps	egemap	NOUN
fcis-32169	82	15	feature	feature	NOUN
fcis-32169	82	16	set	set	VERB
fcis-32169	82	17	.	.	PUNCT
fcis-32169	83	1	this	this	PRON
fcis-32169	83	2	includes	include	VERB
fcis-32169	83	3	fundamental	fundamental	ADJ
fcis-32169	83	4	frequency	frequency	NOUN
fcis-32169	83	5	(	(	PUNCT
fcis-32169	83	6	f0	f0	PROPN
fcis-32169	83	7	)	)	PUNCT
fcis-32169	83	8	,	,	PUNCT
fcis-32169	83	9	spectral	spectral	ADJ
fcis-32169	83	10	energy	energy	NOUN
fcis-32169	83	11	,	,	PUNCT
fcis-32169	83	12	mfcc	mfcc	NOUN
fcis-32169	83	13	,	,	PUNCT
fcis-32169	83	14	pitch	pitch	NOUN
fcis-32169	83	15	variation	variation	NOUN
fcis-32169	83	16	,	,	PUNCT
fcis-32169	83	17	and	and	CCONJ
fcis-32169	83	18	loudness	loudness	NOUN
fcis-32169	83	19	dynamics	dynamic	NOUN
fcis-32169	83	20	.	.	PUNCT
fcis-32169	84	1	these	these	DET
fcis-32169	84	2	features	feature	NOUN
fcis-32169	84	3	reflect	reflect	VERB
fcis-32169	84	4	abnormal	abnormal	ADJ
fcis-32169	84	5	patterns	pattern	NOUN
fcis-32169	84	6	in	in	ADP
fcis-32169	84	7	depressed	depressed	ADJ
fcis-32169	84	8	patients	patient	NOUN
fcis-32169	84	9	,	,	PUNCT
fcis-32169	84	10	such	such	ADJ
fcis-32169	84	11	as	as	ADP
fcis-32169	84	12	slowed	slow	VERB
fcis-32169	84	13	speech	speech	NOUN
fcis-32169	84	14	rate	rate	NOUN
fcis-32169	84	15	,	,	PUNCT
fcis-32169	84	16	flat	flat	ADJ
fcis-32169	84	17	intonation	intonation	NOUN
fcis-32169	84	18	,	,	PUNCT
fcis-32169	84	19	and	and	CCONJ
fcis-32169	84	20	reduced	reduced	ADJ
fcis-32169	84	21	energy	energy	NOUN
fcis-32169	84	22	,	,	PUNCT
fcis-32169	84	23	providing	provide	VERB
fcis-32169	84	24	valuable	valuable	ADJ
fcis-32169	84	25	auxiliary	auxiliary	ADJ
fcis-32169	84	26	information	information	NOUN
fcis-32169	84	27	for	for	ADP
fcis-32169	84	28	the	the	DET
fcis-32169	84	29	model	model	NOUN
fcis-32169	84	30	to	to	PART
fcis-32169	84	31	discern	discern	VERB
fcis-32169	84	32	depressive	depressive	ADJ
fcis-32169	84	33	states	state	NOUN
fcis-32169	84	34	.	.	PUNCT
fcis-32169	85	1	3.3.3	3.3.3	X
fcis-32169	85	2	.	.	PUNCT
fcis-32169	85	3	text	text	NOUN
fcis-32169	85	4	feature	feature	NOUN
fcis-32169	85	5	extraction	extraction	NOUN
fcis-32169	85	6	text	text	NOUN
fcis-32169	85	7	data	datum	NOUN
fcis-32169	85	8	is	be	AUX
fcis-32169	85	9	derived	derive	VERB
fcis-32169	85	10	from	from	ADP
fcis-32169	85	11	manually	manually	ADV
fcis-32169	85	12	transcribed	transcribe	VERB
fcis-32169	85	13	audio	audio	ADJ
fcis-32169	85	14	recordings	recording	NOUN
fcis-32169	85	15	of	of	ADP
fcis-32169	85	16	medical	medical	ADJ
fcis-32169	85	17	consultations	consultation	NOUN
fcis-32169	85	18	.	.	PUNCT
fcis-32169	86	1	during	during	ADP
fcis-32169	86	2	preprocessing	preprocessing	NOUN
fcis-32169	86	3	,	,	PUNCT
fcis-32169	86	4	noise	noise	NOUN
fcis-32169	86	5	elements	element	NOUN
fcis-32169	86	6	such	such	ADJ
fcis-32169	86	7	as	as	ADP
fcis-32169	86	8	filler	filler	NOUN
fcis-32169	86	9	words	word	NOUN
fcis-32169	86	10	,	,	PUNCT
fcis-32169	86	11	non	non	ADJ
fcis-32169	86	12	-	-	ADJ
fcis-32169	86	13	linguistic	linguistic	ADJ
fcis-32169	86	14	markers	marker	NOUN
fcis-32169	86	15	,	,	PUNCT
fcis-32169	86	16	and	and	CCONJ
fcis-32169	86	17	garbled	garbled	ADJ
fcis-32169	86	18	characters	character	NOUN
fcis-32169	86	19	are	be	AUX
fcis-32169	86	20	removed	remove	VERB
fcis-32169	86	21	to	to	PART
fcis-32169	86	22	ensure	ensure	VERB
fcis-32169	86	23	logical	logical	ADJ
fcis-32169	86	24	,	,	PUNCT
fcis-32169	86	25	structural	structural	ADJ
fcis-32169	86	26	,	,	PUNCT
fcis-32169	86	27	and	and	CCONJ
fcis-32169	86	28	semantic	semantic	ADJ
fcis-32169	86	29	accuracy	accuracy	NOUN
fcis-32169	86	30	of	of	ADP
fcis-32169	86	31	the	the	DET
fcis-32169	86	32	text	text	NOUN
fcis-32169	86	33	,	,	PUNCT
fcis-32169	86	34	providing	provide	VERB
fcis-32169	86	35	standardized	standardized	ADJ
fcis-32169	86	36	and	and	CCONJ
fcis-32169	86	37	reliable	reliable	ADJ
fcis-32169	86	38	input	input	NOUN
fcis-32169	86	39	for	for	ADP
fcis-32169	86	40	the	the	DET
fcis-32169	86	41	model	model	NOUN
fcis-32169	86	42	.	.	PUNCT
fcis-32169	87	1	this	this	DET
fcis-32169	87	2	study	study	NOUN
fcis-32169	87	3	employs	employ	VERB
fcis-32169	87	4	emoberta	emoberta	ADJ
fcis-32169	87	5	for	for	ADP
fcis-32169	87	6	text	text	NOUN
fcis-32169	87	7	feature	feature	NOUN
fcis-32169	87	8	extraction	extraction	NOUN
fcis-32169	87	9	.	.	PUNCT
fcis-32169	88	1	by	by	ADP
fcis-32169	88	2	prefixing	prefix	VERB
fcis-32169	88	3	speaker	speaker	NOUN
fcis-32169	88	4	names	name	NOUN
fcis-32169	88	5	to	to	ADP
fcis-32169	88	6	utterances	utterance	NOUN
fcis-32169	88	7	and	and	CCONJ
fcis-32169	88	8	inserting	insert	VERB
fcis-32169	88	9	delimiters	delimiter	NOUN
fcis-32169	88	10	between	between	ADP
fcis-32169	88	11	dialogue	dialogue	NOUN
fcis-32169	88	12	segments	segment	NOUN
fcis-32169	88	13	,	,	PUNCT
fcis-32169	88	14	the	the	DET
fcis-32169	88	15	model	model	NOUN
fcis-32169	88	16	captures	capture	VERB
fcis-32169	88	17	both	both	PRON
fcis-32169	88	18	speaker	speaker	NOUN
fcis-32169	88	19	-	-	PUNCT
fcis-32169	88	20	internal	internal	ADJ
fcis-32169	88	21	states	state	NOUN
fcis-32169	88	22	and	and	CCONJ
fcis-32169	88	23	inter	inter	ADJ
fcis-32169	88	24	-	-	ADJ
fcis-32169	88	25	speaker	speaker	ADJ
fcis-32169	88	26	contextual	contextual	ADJ
fcis-32169	88	27	relationships	relationship	NOUN
fcis-32169	88	28	.	.	PUNCT
fcis-32169	89	1	4	4	X
fcis-32169	89	2	.	.	X
fcis-32169	89	3	experiments	experiment	NOUN
fcis-32169	89	4	and	and	CCONJ
fcis-32169	89	5	discussion	discussion	NOUN
fcis-32169	89	6	4.1	4.1	NUM
fcis-32169	89	7	.	.	PUNCT
fcis-32169	90	1	experimental	experimental	ADJ
fcis-32169	90	2	environment	environment	NOUN
fcis-32169	90	3	and	and	CCONJ
fcis-32169	90	4	parameter	parameter	NOUN
fcis-32169	90	5	settings	setting	NOUN
fcis-32169	90	6	this	this	DET
fcis-32169	90	7	study	study	NOUN
fcis-32169	90	8	's	's	PART
fcis-32169	90	9	experiments	experiment	NOUN
fcis-32169	90	10	were	be	AUX
fcis-32169	90	11	conducted	conduct	VERB
fcis-32169	90	12	on	on	ADP
fcis-32169	90	13	the	the	DET
fcis-32169	90	14	linux	linux	PROPN
fcis-32169	90	15	operating	operating	NOUN
fcis-32169	90	16	system	system	NOUN
fcis-32169	90	17	.	.	PUNCT
fcis-32169	91	1	the	the	DET
fcis-32169	91	2	training	training	NOUN
fcis-32169	91	3	hardware	hardware	NOUN
fcis-32169	91	4	included	include	VERB
fcis-32169	91	5	three	three	NUM
fcis-32169	91	6	nvidia	nvidia	PROPN
fcis-32169	91	7	geforce	geforce	NOUN
fcis-32169	91	8	rtx	rtx	PROPN
fcis-32169	91	9	3080	3080	NUM
fcis-32169	91	10	gpus	gpu	NOUN
fcis-32169	91	11	,	,	PUNCT
fcis-32169	91	12	with	with	ADP
fcis-32169	91	13	the	the	DET
fcis-32169	91	14	software	software	NOUN
fcis-32169	91	15	environment	environment	NOUN
fcis-32169	91	16	utilizing	utilize	VERB
fcis-32169	91	17	python	python	NOUN
fcis-32169	91	18	3.7.12	3.7.12	NUM
fcis-32169	91	19	and	and	CCONJ
fcis-32169	91	20	the	the	DET
fcis-32169	91	21	pytorch	pytorch	NOUN
fcis-32169	91	22	1.8.0	1.8.0	NUM
fcis-32169	91	23	framework	framework	NOUN
fcis-32169	91	24	.	.	PUNCT
fcis-32169	92	1	key	key	ADJ
fcis-32169	92	2	model	model	NOUN
fcis-32169	92	3	parameters	parameter	NOUN
fcis-32169	92	4	are	be	AUX
fcis-32169	92	5	configured	configure	VERB
fcis-32169	92	6	as	as	SCONJ
fcis-32169	92	7	follows	follow	VERB
fcis-32169	92	8	:	:	PUNCT
fcis-32169	92	9	the	the	DET
fcis-32169	92	10	lstm	lstm	NOUN
fcis-32169	92	11	hidden	hide	VERB
fcis-32169	92	12	layer	layer	NOUN
fcis-32169	92	13	dimension	dimension	NOUN
fcis-32169	92	14	for	for	ADP
fcis-32169	92	15	sentence	sentence	NOUN
fcis-32169	92	16	-	-	PUNCT
fcis-32169	92	17	level	level	NOUN
fcis-32169	92	18	feature	feature	NOUN
fcis-32169	92	19	extraction	extraction	NOUN
fcis-32169	92	20	is	be	AUX
fcis-32169	92	21	set	set	VERB
fcis-32169	92	22	to	to	ADP
fcis-32169	92	23	16	16	NUM
fcis-32169	92	24	.	.	PUNCT
fcis-32169	93	1	the	the	DET
fcis-32169	93	2	number	number	NOUN
fcis-32169	93	3	of	of	ADP
fcis-32169	93	4	hidden	hide	VERB
fcis-32169	93	5	units	unit	NOUN
fcis-32169	93	6	for	for	ADP
fcis-32169	93	7	intersentence	intersentence	NOUN
fcis-32169	93	8	temporal	temporal	ADJ
fcis-32169	93	9	modeling	modeling	NOUN
fcis-32169	93	10	lstms	lstms	NOUN
fcis-32169	93	11	is	be	AUX
fcis-32169	93	12	8	8	NUM
fcis-32169	93	13	(	(	PUNCT
fcis-32169	93	14	audio	audio	NOUN
fcis-32169	93	15	and	and	CCONJ
fcis-32169	93	16	face	face	NOUN
fcis-32169	93	17	modalities	modality	NOUN
fcis-32169	93	18	)	)	PUNCT
fcis-32169	93	19	and	and	CCONJ
fcis-32169	93	20	4	4	NUM
fcis-32169	93	21	(	(	PUNCT
fcis-32169	93	22	text	text	NOUN
fcis-32169	93	23	modality	modality	NOUN
fcis-32169	93	24	,	,	PUNCT
fcis-32169	93	25	bidirectional	bidirectional	ADJ
fcis-32169	93	26	structure	structure	NOUN
fcis-32169	93	27	)	)	PUNCT
fcis-32169	93	28	.	.	PUNCT
fcis-32169	94	1	dropout	dropout	NOUN
fcis-32169	94	2	is	be	AUX
fcis-32169	94	3	set	set	VERB
fcis-32169	94	4	to	to	ADP
fcis-32169	94	5	0.3	0.3	NUM
fcis-32169	94	6	.	.	PUNCT
fcis-32169	95	1	the	the	DET
fcis-32169	95	2	adam	adam	PROPN
fcis-32169	95	3	optimizer	optimizer	NOUN
fcis-32169	95	4	is	be	AUX
fcis-32169	95	5	employed	employ	VERB
fcis-32169	95	6	with	with	ADP
fcis-32169	95	7	an	an	DET
fcis-32169	95	8	initial	initial	ADJ
fcis-32169	95	9	learning	learning	NOUN
fcis-32169	95	10	rate	rate	NOUN
fcis-32169	95	11	of	of	ADP
fcis-32169	95	12	1e-3	1e-3	NUM
fcis-32169	95	13	.	.	PUNCT
fcis-32169	96	1	4.2	4.2	NUM
fcis-32169	96	2	.	.	PUNCT
fcis-32169	97	1	experimental	experimental	ADJ
fcis-32169	97	2	evaluation	evaluation	NOUN
fcis-32169	97	3	metrics	metric	NOUN
fcis-32169	97	4	to	to	PART
fcis-32169	97	5	comprehensively	comprehensively	ADV
fcis-32169	97	6	evaluate	evaluate	VERB
fcis-32169	97	7	the	the	DET
fcis-32169	97	8	performance	performance	NOUN
fcis-32169	97	9	of	of	ADP
fcis-32169	97	10	various	various	ADJ
fcis-32169	97	11	classification	classification	NOUN
fcis-32169	97	12	models	model	NOUN
fcis-32169	97	13	in	in	ADP
fcis-32169	97	14	depression	depression	NOUN
fcis-32169	97	15	recognition	recognition	NOUN
fcis-32169	97	16	tasks	task	NOUN
fcis-32169	97	17	,	,	PUNCT
fcis-32169	97	18	this	this	DET
fcis-32169	97	19	study	study	NOUN
fcis-32169	97	20	employs	employ	VERB
fcis-32169	97	21	five	five	NUM
fcis-32169	97	22	commonly	commonly	ADV
fcis-32169	97	23	used	use	VERB
fcis-32169	97	24	metrics	metric	NOUN
fcis-32169	97	25	:	:	PUNCT
fcis-32169	97	26	recall	recall	NOUN
fcis-32169	97	27	,	,	PUNCT
fcis-32169	97	28	precision	precision	NOUN
fcis-32169	97	29	,	,	PUNCT
fcis-32169	97	30	f1	f1	NOUN
fcis-32169	97	31	-	-	PUNCT
fcis-32169	97	32	score	score	NOUN
fcis-32169	97	33	,	,	PUNCT
fcis-32169	97	34	specificity	specificity	NOUN
fcis-32169	97	35	,	,	PUNCT
fcis-32169	97	36	and	and	CCONJ
fcis-32169	97	37	accuracy	accuracy	NOUN
fcis-32169	97	38	,	,	PUNCT
fcis-32169	97	39	as	as	SCONJ
fcis-32169	97	40	shown	show	VERB
fcis-32169	97	41	in	in	ADP
fcis-32169	97	42	equations	equation	NOUN
fcis-32169	97	43	(	(	PUNCT
fcis-32169	97	44	19–22	19–22	NUM
fcis-32169	97	45	)	)	PUNCT
fcis-32169	97	46	.	.	PUNCT
fcis-32169	98	1	recall	recall	NOUN
fcis-32169	98	2	measures	measure	NOUN
fcis-32169	98	3	a	a	DET
fcis-32169	98	4	model	model	NOUN
fcis-32169	98	5	's	's	PART
fcis-32169	98	6	ability	ability	NOUN
fcis-32169	98	7	to	to	PART
fcis-32169	98	8	identify	identify	VERB
fcis-32169	98	9	genuinely	genuinely	ADV
fcis-32169	98	10	64	64	NUM
fcis-32169	98	11	depressed	depressed	ADJ
fcis-32169	98	12	patients	patient	NOUN
fcis-32169	98	13	;	;	PUNCT
fcis-32169	98	14	higher	high	ADJ
fcis-32169	98	15	values	value	NOUN
fcis-32169	98	16	indicate	indicate	VERB
fcis-32169	98	17	lower	low	ADJ
fcis-32169	98	18	false	false	ADJ
fcis-32169	98	19	negative	negative	ADJ
fcis-32169	98	20	rates	rate	NOUN
fcis-32169	98	21	.	.	PUNCT
fcis-32169	99	1	precision	precision	NOUN
fcis-32169	99	2	measures	measure	VERB
fcis-32169	99	3	the	the	DET
fcis-32169	99	4	proportion	proportion	NOUN
fcis-32169	99	5	of	of	ADP
fcis-32169	99	6	samples	sample	NOUN
fcis-32169	99	7	predicted	predict	VERB
fcis-32169	99	8	as	as	ADP
fcis-32169	99	9	depressed	depressed	ADJ
fcis-32169	99	10	that	that	PRON
fcis-32169	99	11	are	be	AUX
fcis-32169	99	12	actually	actually	ADV
fcis-32169	99	13	depressed	depressed	ADJ
fcis-32169	99	14	,	,	PUNCT
fcis-32169	99	15	with	with	ADP
fcis-32169	99	16	higher	high	ADJ
fcis-32169	99	17	precision	precision	NOUN
fcis-32169	99	18	reducing	reduce	VERB
fcis-32169	99	19	false	false	ADJ
fcis-32169	99	20	positive	positive	ADJ
fcis-32169	99	21	rates	rate	NOUN
fcis-32169	99	22	;	;	PUNCT
fcis-32169	99	23	f1	f1	NOUN
fcis-32169	99	24	-	-	PUNCT
fcis-32169	99	25	score	score	NOUN
fcis-32169	99	26	is	be	AUX
fcis-32169	99	27	the	the	DET
fcis-32169	99	28	harmonic	harmonic	ADJ
fcis-32169	99	29	mean	mean	NOUN
fcis-32169	99	30	of	of	ADP
fcis-32169	99	31	precision	precision	NOUN
fcis-32169	99	32	and	and	CCONJ
fcis-32169	99	33	recall	recall	NOUN
fcis-32169	99	34	,	,	PUNCT
fcis-32169	99	35	reflecting	reflect	VERB
fcis-32169	99	36	the	the	DET
fcis-32169	99	37	combined	combined	ADJ
fcis-32169	99	38	performance	performance	NOUN
fcis-32169	99	39	of	of	ADP
fcis-32169	99	40	false	false	ADJ
fcis-32169	99	41	positive	positive	ADJ
fcis-32169	99	42	and	and	CCONJ
fcis-32169	99	43	false	false	ADJ
fcis-32169	99	44	negative	negative	ADJ
fcis-32169	99	45	control	control	NOUN
fcis-32169	99	46	,	,	PUNCT
fcis-32169	99	47	suitable	suitable	ADJ
fcis-32169	99	48	for	for	ADP
fcis-32169	99	49	imbalanced	imbalanced	ADJ
fcis-32169	99	50	data	datum	NOUN
fcis-32169	99	51	;	;	PUNCT
fcis-32169	99	52	accuracy	accuracy	NOUN
fcis-32169	99	53	indicates	indicate	VERB
fcis-32169	99	54	the	the	DET
fcis-32169	99	55	overall	overall	ADJ
fcis-32169	99	56	classification	classification	NOUN
fcis-32169	99	57	correctness	correctness	NOUN
fcis-32169	99	58	rate	rate	NOUN
fcis-32169	99	59	across	across	ADP
fcis-32169	99	60	all	all	DET
fcis-32169	99	61	samples	sample	NOUN
fcis-32169	99	62	,	,	PUNCT
fcis-32169	99	63	but	but	CCONJ
fcis-32169	99	64	may	may	AUX
fcis-32169	99	65	mask	mask	VERB
fcis-32169	99	66	minority	minority	NOUN
fcis-32169	99	67	class	class	NOUN
fcis-32169	99	68	bias	bias	NOUN
fcis-32169	99	69	in	in	ADP
fcis-32169	99	70	imbalanced	imbalanced	ADJ
fcis-32169	99	71	scenarios	scenario	NOUN
fcis-32169	99	72	,	,	PUNCT
fcis-32169	99	73	thus	thus	ADV
fcis-32169	99	74	requiring	require	VERB
fcis-32169	99	75	comprehensive	comprehensive	ADJ
fcis-32169	99	76	analysis	analysis	NOUN
fcis-32169	99	77	with	with	ADP
fcis-32169	99	78	other	other	ADJ
fcis-32169	99	79	metrics	metric	NOUN
fcis-32169	99	80	.	.	PUNCT
fcis-32169	100	1	here	here	ADV
fcis-32169	100	2	,	,	PUNCT
fcis-32169	100	3	tp	tp	PROPN
fcis-32169	100	4	denotes	denote	VERB
fcis-32169	100	5	the	the	DET
fcis-32169	100	6	number	number	NOUN
fcis-32169	100	7	of	of	ADP
fcis-32169	100	8	correctly	correctly	ADV
fcis-32169	100	9	classified	classify	VERB
fcis-32169	100	10	positive	positive	ADJ
fcis-32169	100	11	samples	sample	NOUN
fcis-32169	100	12	;	;	PUNCT
fcis-32169	100	13	fp	fp	X
fcis-32169	100	14	denotes	denote	VERB
fcis-32169	100	15	the	the	DET
fcis-32169	100	16	number	number	NOUN
fcis-32169	100	17	of	of	ADP
fcis-32169	100	18	negative	negative	ADJ
fcis-32169	100	19	samples	sample	NOUN
fcis-32169	100	20	misclassified	misclassifie	VERB
fcis-32169	100	21	as	as	ADP
fcis-32169	100	22	positive	positive	ADJ
fcis-32169	100	23	;	;	PUNCT
fcis-32169	100	24	tn	tn	NOUN
fcis-32169	100	25	denotes	denote	VERB
fcis-32169	100	26	the	the	DET
fcis-32169	100	27	number	number	NOUN
fcis-32169	100	28	of	of	ADP
fcis-32169	100	29	correctly	correctly	ADV
fcis-32169	100	30	classified	classified	ADJ
fcis-32169	100	31	negative	negative	ADJ
fcis-32169	100	32	samples	sample	NOUN
fcis-32169	100	33	;	;	PUNCT
fcis-32169	100	34	fn	fn	NOUN
fcis-32169	100	35	denotes	denote	VERB
fcis-32169	100	36	the	the	DET
fcis-32169	100	37	number	number	NOUN
fcis-32169	100	38	of	of	ADP
fcis-32169	100	39	positive	positive	ADJ
fcis-32169	100	40	samples	sample	NOUN
fcis-32169	100	41	misclassified	misclassifie	VERB
fcis-32169	100	42	as	as	ADP
fcis-32169	100	43	negative	negative	ADJ
fcis-32169	100	44	.	.	PUNCT
fcis-32169	101	1	4.3	4.3	NUM
fcis-32169	101	2	.	.	PUNCT
fcis-32169	101	3	experimental	experimental	ADJ
fcis-32169	101	4	results	result	NOUN
fcis-32169	101	5	and	and	CCONJ
fcis-32169	101	6	analysis	analysis	NOUN
fcis-32169	101	7	4.3.1	4.3.1	NUM
fcis-32169	101	8	.	.	PUNCT
fcis-32169	102	1	experimental	experimental	ADJ
fcis-32169	102	2	results	result	NOUN
fcis-32169	102	3	on	on	ADP
fcis-32169	102	4	the	the	DET
fcis-32169	102	5	mdd2025	mdd2025	NOUN
fcis-32169	102	6	dataset	dataset	NOUN
fcis-32169	102	7	on	on	ADP
fcis-32169	102	8	the	the	DET
fcis-32169	102	9	mdd2025	mdd2025	NOUN
fcis-32169	102	10	dataset	dataset	NOUN
fcis-32169	102	11	,	,	PUNCT
fcis-32169	102	12	this	this	DET
fcis-32169	102	13	study	study	NOUN
fcis-32169	102	14	compares	compare	VERB
fcis-32169	102	15	the	the	DET
fcis-32169	102	16	performance	performance	NOUN
fcis-32169	102	17	of	of	ADP
fcis-32169	102	18	the	the	DET
fcis-32169	102	19	proposed	propose	VERB
fcis-32169	102	20	mtfnet	mtfnet	NOUN
fcis-32169	102	21	model	model	NOUN
fcis-32169	102	22	against	against	ADP
fcis-32169	102	23	multiple	multiple	ADJ
fcis-32169	102	24	models	model	NOUN
fcis-32169	102	25	,	,	PUNCT
fcis-32169	102	26	with	with	ADP
fcis-32169	102	27	results	result	NOUN
fcis-32169	102	28	shown	show	VERB
fcis-32169	102	29	in	in	ADP
fcis-32169	102	30	table	table	NOUN
fcis-32169	102	31	1	1	NUM
fcis-32169	102	32	.	.	PUNCT
fcis-32169	102	33	traditional	traditional	ADJ
fcis-32169	102	34	fullsequence	fullsequence	NOUN
fcis-32169	102	35	modeling	modeling	NOUN
fcis-32169	102	36	approaches	approach	NOUN
fcis-32169	102	37	like	like	ADP
fcis-32169	102	38	tcn	tcn	NOUN
fcis-32169	102	39	and	and	CCONJ
fcis-32169	102	40	lstm	lstm	NOUN
fcis-32169	102	41	lack	lack	VERB
fcis-32169	102	42	the	the	DET
fcis-32169	102	43	ability	ability	NOUN
fcis-32169	102	44	to	to	PART
fcis-32169	102	45	capture	capture	VERB
fcis-32169	102	46	fine	fine	ADV
fcis-32169	102	47	-	-	PUNCT
fcis-32169	102	48	grained	grain	VERB
fcis-32169	102	49	local	local	ADJ
fcis-32169	102	50	features	feature	NOUN
fcis-32169	102	51	,	,	PUNCT
fcis-32169	102	52	resulting	result	VERB
fcis-32169	102	53	in	in	ADP
fcis-32169	102	54	limited	limited	ADJ
fcis-32169	102	55	performance	performance	NOUN
fcis-32169	102	56	.	.	PUNCT
fcis-32169	103	1	sentence	sentence	NOUN
fcis-32169	103	2	-	-	PUNCT
fcis-32169	103	3	level	level	NOUN
fcis-32169	103	4	tcn	tcn	NOUN
fcis-32169	103	5	and	and	CCONJ
fcis-32169	103	6	lstm	lstm	NOUN
fcis-32169	103	7	models	model	NOUN
fcis-32169	103	8	,	,	PUNCT
fcis-32169	103	9	which	which	PRON
fcis-32169	103	10	partition	partition	NOUN
fcis-32169	103	11	sequences	sequence	NOUN
fcis-32169	103	12	into	into	ADP
fcis-32169	103	13	sentence	sentence	NOUN
fcis-32169	103	14	-	-	PUNCT
fcis-32169	103	15	level	level	NOUN
fcis-32169	103	16	units	unit	NOUN
fcis-32169	103	17	for	for	ADP
fcis-32169	103	18	modeling	modeling	NOUN
fcis-32169	103	19	,	,	PUNCT
fcis-32169	103	20	capture	capture	VERB
fcis-32169	103	21	local	local	ADJ
fcis-32169	103	22	dynamics	dynamic	NOUN
fcis-32169	103	23	more	more	ADV
fcis-32169	103	24	effectively	effectively	ADV
fcis-32169	103	25	,	,	PUNCT
fcis-32169	103	26	leading	lead	VERB
fcis-32169	103	27	to	to	ADP
fcis-32169	103	28	significant	significant	ADJ
fcis-32169	103	29	performance	performance	NOUN
fcis-32169	103	30	improvements	improvement	NOUN
fcis-32169	103	31	.	.	PUNCT
fcis-32169	104	1	bilstm	bilstm	NOUN
fcis-32169	104	2	-	-	PUNCT
fcis-32169	104	3	gru	gru	NOUN
fcis-32169	104	4	further	far	ADV
fcis-32169	104	5	outperforms	outperform	VERB
fcis-32169	104	6	sentence	sentence	NOUN
fcis-32169	104	7	-	-	PUNCT
fcis-32169	104	8	level	level	NOUN
fcis-32169	104	9	lstm	lstm	NOUN
fcis-32169	104	10	,	,	PUNCT
fcis-32169	104	11	while	while	SCONJ
fcis-32169	104	12	the	the	DET
fcis-32169	104	13	proposed	propose	VERB
fcis-32169	104	14	mtfnet	mtfnet	NOUN
fcis-32169	104	15	achieves	achieve	VERB
fcis-32169	104	16	the	the	DET
fcis-32169	104	17	best	good	ADJ
fcis-32169	104	18	overall	overall	ADJ
fcis-32169	104	19	performance	performance	NOUN
fcis-32169	104	20	,	,	PUNCT
fcis-32169	104	21	surpassing	surpass	VERB
fcis-32169	104	22	all	all	DET
fcis-32169	104	23	comparison	comparison	NOUN
fcis-32169	104	24	models	model	NOUN
fcis-32169	104	25	across	across	ADP
fcis-32169	104	26	metrics	metric	NOUN
fcis-32169	104	27	.	.	PUNCT
fcis-32169	105	1	this	this	PRON
fcis-32169	105	2	fully	fully	ADV
fcis-32169	105	3	validates	validate	VERB
fcis-32169	105	4	its	its	PRON
fcis-32169	105	5	effectiveness	effectiveness	NOUN
fcis-32169	105	6	in	in	ADP
fcis-32169	105	7	multimodal	multimodal	ADJ
fcis-32169	105	8	depression	depression	NOUN
fcis-32169	105	9	recognition	recognition	NOUN
fcis-32169	105	10	.	.	PUNCT
fcis-32169	106	1	4.3.2	4.3.2	X
fcis-32169	106	2	.	.	PUNCT
fcis-32169	107	1	experimental	experimental	ADJ
fcis-32169	107	2	results	result	NOUN
fcis-32169	107	3	on	on	ADP
fcis-32169	107	4	the	the	DET
fcis-32169	107	5	daic	daic	PROPN
fcis-32169	107	6	-	-	PUNCT
fcis-32169	107	7	woz	woz	PROPN
fcis-32169	107	8	dataset	dataset	VERB
fcis-32169	107	9	comparative	comparative	ADJ
fcis-32169	107	10	results	result	NOUN
fcis-32169	107	11	on	on	ADP
fcis-32169	107	12	the	the	DET
fcis-32169	107	13	public	public	ADJ
fcis-32169	107	14	daic	daic	PROPN
fcis-32169	107	15	-	-	PUNCT
fcis-32169	107	16	woz	woz	PROPN
fcis-32169	107	17	dataset	dataset	NOUN
fcis-32169	107	18	are	be	AUX
fcis-32169	107	19	shown	show	VERB
fcis-32169	107	20	in	in	ADP
fcis-32169	107	21	table	table	NOUN
fcis-32169	107	22	2	2	NUM
fcis-32169	107	23	.	.	PUNCT
fcis-32169	108	1	the	the	DET
fcis-32169	108	2	mtfnet	mtfnet	PROPN
fcis-32169	108	3	model	model	NOUN
fcis-32169	108	4	achieves	achieve	VERB
fcis-32169	108	5	the	the	DET
fcis-32169	108	6	best	good	ADJ
fcis-32169	108	7	performance	performance	NOUN
fcis-32169	108	8	on	on	ADP
fcis-32169	108	9	the	the	DET
fcis-32169	108	10	daic	daic	PROPN
fcis-32169	108	11	-	-	PUNCT
fcis-32169	108	12	woz	woz	PROPN
fcis-32169	108	13	dataset	dataset	NOUN
fcis-32169	108	14	,	,	PUNCT
fcis-32169	108	15	with	with	ADP
fcis-32169	108	16	an	an	DET
fcis-32169	108	17	f1	f1	NOUN
fcis-32169	108	18	-	-	PUNCT
fcis-32169	108	19	score	score	NOUN
fcis-32169	108	20	of	of	ADP
fcis-32169	108	21	0.85	0.85	NUM
fcis-32169	108	22	,	,	PUNCT
fcis-32169	108	23	accuracy	accuracy	NOUN
fcis-32169	108	24	of	of	ADP
fcis-32169	108	25	0.86	0.86	NUM
fcis-32169	108	26	,	,	PUNCT
fcis-32169	108	27	specificity	specificity	NOUN
fcis-32169	108	28	and	and	CCONJ
fcis-32169	108	29	precision	precision	NOUN
fcis-32169	108	30	of	of	ADP
fcis-32169	108	31	0.87	0.87	NUM
fcis-32169	108	32	and	and	CCONJ
fcis-32169	108	33	0.86	0.86	NUM
fcis-32169	108	34	respectively	respectively	ADV
fcis-32169	108	35	,	,	PUNCT
fcis-32169	108	36	and	and	CCONJ
fcis-32169	108	37	recall	recall	NOUN
fcis-32169	108	38	of	of	ADP
fcis-32169	108	39	0.84	0.84	NUM
fcis-32169	108	40	.	.	PUNCT
fcis-32169	109	1	4.4	4.4	NUM
fcis-32169	109	2	.	.	PUNCT
fcis-32169	110	1	module	module	NOUN
fcis-32169	110	2	ablation	ablation	NOUN
fcis-32169	110	3	experiments	experiment	NOUN
fcis-32169	110	4	to	to	PART
fcis-32169	110	5	further	far	ADV
fcis-32169	110	6	validate	validate	VERB
fcis-32169	110	7	the	the	DET
fcis-32169	110	8	effectiveness	effectiveness	NOUN
fcis-32169	110	9	of	of	ADP
fcis-32169	110	10	the	the	DET
fcis-32169	110	11	sentence	sentence	NOUN
fcis-32169	110	12	-	-	PUNCT
fcis-32169	110	13	level	level	NOUN
fcis-32169	110	14	segmentation	segmentation	NOUN
fcis-32169	110	15	and	and	CCONJ
fcis-32169	110	16	multimodal	multimodal	ADJ
fcis-32169	110	17	dynamic	dynamic	ADJ
fcis-32169	110	18	fusion	fusion	NOUN
fcis-32169	110	19	mechanism	mechanism	NOUN
fcis-32169	110	20	in	in	ADP
fcis-32169	110	21	the	the	DET
fcis-32169	110	22	proposed	propose	VERB
fcis-32169	110	23	mtfnet	mtfnet	PROPN
fcis-32169	110	24	model	model	NOUN
fcis-32169	110	25	,	,	PUNCT
fcis-32169	110	26	ablation	ablation	NOUN
fcis-32169	110	27	experiments	experiment	NOUN
fcis-32169	110	28	were	be	AUX
fcis-32169	110	29	conducted	conduct	VERB
fcis-32169	110	30	on	on	ADP
fcis-32169	110	31	the	the	DET
fcis-32169	110	32	daic	daic	PROPN
fcis-32169	110	33	-	-	PUNCT
fcis-32169	110	34	woz	woz	PROPN
fcis-32169	110	35	dataset	dataset	NOUN
fcis-32169	110	36	.	.	PUNCT
fcis-32169	111	1	the	the	DET
fcis-32169	111	2	results	result	NOUN
fcis-32169	111	3	are	be	AUX
fcis-32169	111	4	shown	show	VERB
fcis-32169	111	5	in	in	ADP
fcis-32169	111	6	table	table	NOUN
fcis-32169	111	7	3	3	NUM
fcis-32169	111	8	.	.	PUNCT
fcis-32169	112	1	after	after	ADP
fcis-32169	112	2	introducing	introduce	VERB
fcis-32169	112	3	the	the	DET
fcis-32169	112	4	dynamic	dynamic	ADJ
fcis-32169	112	5	multimodal	multimodal	NOUN
fcis-32169	112	6	split	split	VERB
fcis-32169	112	7	attention	attention	NOUN
fcis-32169	112	8	fusion	fusion	NOUN
fcis-32169	112	9	module	module	NOUN
fcis-32169	112	10	,	,	PUNCT
fcis-32169	112	11	using	use	VERB
fcis-32169	112	12	only	only	ADV
fcis-32169	112	13	this	this	DET
fcis-32169	112	14	module	module	NOUN
fcis-32169	112	15	without	without	ADP
fcis-32169	112	16	sequence	sequence	NOUN
fcis-32169	112	17	segmentation	segmentation	NOUN
fcis-32169	112	18	(	(	PUNCT
fcis-32169	112	19	q=1	q=1	X
fcis-32169	112	20	)	)	PUNCT
fcis-32169	112	21	improved	improve	VERB
fcis-32169	112	22	the	the	DET
fcis-32169	112	23	f1	f1	NOUN
fcis-32169	112	24	-	-	PUNCT
fcis-32169	112	25	score	score	NOUN
fcis-32169	112	26	and	and	CCONJ
fcis-32169	112	27	accuracy	accuracy	NOUN
fcis-32169	112	28	to	to	ADP
fcis-32169	112	29	0.81	0.81	NUM
fcis-32169	112	30	and	and	CCONJ
fcis-32169	112	31	0.82	0.82	NUM
fcis-32169	112	32	,	,	PUNCT
fcis-32169	112	33	respectively	respectively	ADV
fcis-32169	112	34	,	,	PUNCT
fcis-32169	112	35	indicating	indicate	VERB
fcis-32169	112	36	that	that	SCONJ
fcis-32169	112	37	crossmodal	crossmodal	ADJ
fcis-32169	112	38	dynamic	dynamic	ADJ
fcis-32169	112	39	fusion	fusion	NOUN
fcis-32169	112	40	significantly	significantly	ADV
fcis-32169	112	41	enhances	enhance	VERB
fcis-32169	112	42	the	the	DET
fcis-32169	112	43	model	model	NOUN
fcis-32169	112	44	's	's	PART
fcis-32169	112	45	representational	representational	ADJ
fcis-32169	112	46	capability	capability	NOUN
fcis-32169	112	47	.	.	PUNCT
fcis-32169	113	1	experiments	experiment	NOUN
fcis-32169	113	2	were	be	AUX
fcis-32169	113	3	conducted	conduct	VERB
fcis-32169	113	4	with	with	ADP
fcis-32169	113	5	varying	vary	VERB
fcis-32169	113	6	segmentation	segmentation	NOUN
fcis-32169	113	7	levels	level	NOUN
fcis-32169	113	8	(	(	PUNCT
fcis-32169	113	9	q	q	X
fcis-32169	113	10	)	)	PUNCT
fcis-32169	113	11	to	to	PART
fcis-32169	113	12	investigate	investigate	VERB
fcis-32169	113	13	the	the	DET
fcis-32169	113	14	impact	impact	NOUN
fcis-32169	113	15	of	of	ADP
fcis-32169	113	16	sentence	sentence	NOUN
fcis-32169	113	17	segmentation	segmentation	NOUN
fcis-32169	113	18	on	on	ADP
fcis-32169	113	19	model	model	NOUN
fcis-32169	113	20	performance	performance	NOUN
fcis-32169	113	21	.	.	PUNCT
fcis-32169	114	1	results	result	NOUN
fcis-32169	114	2	show	show	VERB
fcis-32169	114	3	that	that	SCONJ
fcis-32169	114	4	both	both	PRON
fcis-32169	114	5	q=3	q=3	PROPN
fcis-32169	114	6	and	and	CCONJ
fcis-32169	114	7	q=5	q=5	PRON
fcis-32169	114	8	outperform	outperform	VERB
fcis-32169	114	9	q=1	q=1	PROPN
fcis-32169	114	10	,	,	PUNCT
fcis-32169	114	11	indicating	indicate	VERB
fcis-32169	114	12	that	that	SCONJ
fcis-32169	114	13	moderate	moderate	ADJ
fcis-32169	114	14	segmentation	segmentation	NOUN
fcis-32169	114	15	aids	aid	NOUN
fcis-32169	114	16	in	in	ADP
fcis-32169	114	17	capturing	capture	VERB
fcis-32169	114	18	intra	intra	ADJ
fcis-32169	114	19	-	-	ADJ
fcis-32169	114	20	sequence	sequence	NOUN
fcis-32169	114	21	dynamics	dynamic	NOUN
fcis-32169	114	22	.	.	PUNCT
fcis-32169	115	1	optimal	optimal	ADJ
fcis-32169	115	2	performance	performance	NOUN
fcis-32169	115	3	is	be	AUX
fcis-32169	115	4	achieved	achieve	VERB
fcis-32169	115	5	at	at	ADP
fcis-32169	115	6	q=4	q=4	PROPN
fcis-32169	115	7	,	,	PUNCT
fcis-32169	115	8	balancing	balance	VERB
fcis-32169	115	9	local	local	ADJ
fcis-32169	115	10	information	information	NOUN
fcis-32169	115	11	capture	capture	NOUN
fcis-32169	115	12	with	with	ADP
fcis-32169	115	13	global	global	ADJ
fcis-32169	115	14	context	context	NOUN
fcis-32169	115	15	.	.	PUNCT
fcis-32169	116	1	performance	performance	NOUN
fcis-32169	116	2	slightly	slightly	ADV
fcis-32169	116	3	declines	decline	VERB
fcis-32169	116	4	at	at	ADP
fcis-32169	116	5	q=5	q=5	PROPN
fcis-32169	116	6	due	due	ADP
fcis-32169	116	7	to	to	ADP
fcis-32169	116	8	overfitting	overfitte	VERB
fcis-32169	116	9	in	in	ADP
fcis-32169	116	10	limited	limited	ADJ
fcis-32169	116	11	samples	sample	NOUN
fcis-32169	116	12	caused	cause	VERB
fcis-32169	116	13	by	by	ADP
fcis-32169	116	14	excessive	excessive	ADJ
fcis-32169	116	15	segmentation	segmentation	NOUN
fcis-32169	116	16	increasing	increase	VERB
fcis-32169	116	17	parameters	parameter	NOUN
fcis-32169	116	18	.	.	PUNCT
fcis-32169	117	1	in	in	ADP
fcis-32169	117	2	summary	summary	NOUN
fcis-32169	117	3	,	,	PUNCT
fcis-32169	117	4	sentence	sentence	NOUN
fcis-32169	117	5	-	-	PUNCT
fcis-32169	117	6	level	level	NOUN
fcis-32169	117	7	segmentation	segmentation	NOUN
fcis-32169	117	8	is	be	AUX
fcis-32169	117	9	essential	essential	ADJ
fcis-32169	117	10	for	for	ADP
fcis-32169	117	11	multimodal	multimodal	NOUN
fcis-32169	117	12	sequence	sequence	NOUN
fcis-32169	117	13	modeling	modeling	NOUN
fcis-32169	117	14	,	,	PUNCT
fcis-32169	117	15	and	and	CCONJ
fcis-32169	117	16	segment	segment	NOUN
fcis-32169	117	17	count	count	NOUN
fcis-32169	117	18	selection	selection	NOUN
fcis-32169	117	19	is	be	AUX
fcis-32169	117	20	critical	critical	ADJ
fcis-32169	117	21	.	.	PUNCT
fcis-32169	118	1	mtfnet	mtfnet	NOUN
fcis-32169	118	2	achieves	achieve	VERB
fcis-32169	118	3	optimal	optimal	ADJ
fcis-32169	118	4	performance	performance	NOUN
fcis-32169	118	5	at	at	ADP
fcis-32169	118	6	q=4	q=4	PROPN
fcis-32169	118	7	,	,	PUNCT
fcis-32169	118	8	validating	validate	VERB
fcis-32169	118	9	the	the	DET
fcis-32169	118	10	effectiveness	effectiveness	NOUN
fcis-32169	118	11	and	and	CCONJ
fcis-32169	118	12	superiority	superiority	NOUN
fcis-32169	118	13	of	of	ADP
fcis-32169	118	14	segmentation	segmentation	NOUN
fcis-32169	118	15	processing	processing	NOUN
fcis-32169	118	16	combined	combine	VERB
fcis-32169	118	17	with	with	ADP
fcis-32169	118	18	dynamic	dynamic	ADJ
fcis-32169	118	19	multimodal	multimodal	NOUN
fcis-32169	118	20	attention	attention	NOUN
fcis-32169	118	21	fusion	fusion	NOUN
fcis-32169	118	22	.	.	PUNCT
fcis-32169	119	1	table	table	NOUN
fcis-32169	119	2	1	1	NUM
fcis-32169	119	3	.	.	PUNCT
fcis-32169	120	1	depression	depression	NOUN
fcis-32169	120	2	classification	classification	NOUN
fcis-32169	120	3	results	result	NOUN
fcis-32169	120	4	of	of	ADP
fcis-32169	120	5	the	the	DET
fcis-32169	120	6	mtfnet	mtfnet	NOUN
fcis-32169	120	7	model	model	NOUN
fcis-32169	120	8	on	on	ADP
fcis-32169	120	9	the	the	DET
fcis-32169	120	10	mmd2025	mmd2025	ADJ
fcis-32169	120	11	dataset	dataset	NOUN
fcis-32169	120	12	model	model	NOUN
fcis-32169	120	13	f1score	f1score	PROPN
fcis-32169	120	14	precision	precision	PROPN
fcis-32169	120	15	recall	recall	NOUN
fcis-32169	120	16	accuracy	accuracy	NOUN
fcis-32169	120	17	tcn	tcn	NOUN
fcis-32169	120	18	(	(	PUNCT
fcis-32169	120	19	all	all	ADV
fcis-32169	120	20	)	)	PUNCT
fcis-32169	120	21	0.61	0.61	NUM
fcis-32169	120	22	0.62	0.62	NUM
fcis-32169	120	23	0.60	0.60	NUM
fcis-32169	120	24	0.63	0.63	NUM
fcis-32169	120	25	lstm	lstm	NOUN
fcis-32169	120	26	(	(	PUNCT
fcis-32169	120	27	all	all	ADV
fcis-32169	120	28	)	)	PUNCT
fcis-32169	120	29	0.64	0.64	NUM
fcis-32169	120	30	0.66	0.66	NUM
fcis-32169	120	31	0.62	0.62	NUM
fcis-32169	120	32	0.65	0.65	NUM
fcis-32169	120	33	tcn	tcn	NOUN
fcis-32169	120	34	(	(	PUNCT
fcis-32169	120	35	sentence	sentence	NOUN
fcis-32169	120	36	)	)	PUNCT
fcis-32169	120	37	0.67	0.67	NUM
fcis-32169	120	38	0.71	0.71	NUM
fcis-32169	120	39	0.63	0.63	NUM
fcis-32169	120	40	0.65	0.65	NUM
fcis-32169	120	41	lstm	lstm	NOUN
fcis-32169	120	42	(	(	PUNCT
fcis-32169	120	43	sentence	sentence	NOUN
fcis-32169	120	44	)	)	PUNCT
fcis-32169	120	45	0.69	0.69	NUM
fcis-32169	120	46	0.75	0.75	NUM
fcis-32169	120	47	0.65	0.65	NUM
fcis-32169	120	48	0.71	0.71	NUM
fcis-32169	120	49	bilstm	bilstm	NOUN
fcis-32169	120	50	-	-	PUNCT
fcis-32169	120	51	gru[19	gru[19	NOUN
fcis-32169	120	52	]	]	PUNCT
fcis-32169	120	53	0.79	0.79	NUM
fcis-32169	120	54	0.81	0.81	NUM
fcis-32169	120	55	0.78	0.78	NUM
fcis-32169	120	56	0.80	0.80	NUM
fcis-32169	120	57	mtfnet	mtfnet	NOUN
fcis-32169	120	58	0.83	0.83	NUM
fcis-32169	120	59	0.84	0.84	NUM
fcis-32169	120	60	0.83	0.83	NUM
fcis-32169	120	61	0.84	0.84	NUM
fcis-32169	120	62	table	table	NOUN
fcis-32169	120	63	2	2	NUM
fcis-32169	120	64	.	.	PUNCT
fcis-32169	121	1	depression	depression	NOUN
fcis-32169	121	2	classification	classification	NOUN
fcis-32169	121	3	results	result	NOUN
fcis-32169	121	4	of	of	ADP
fcis-32169	121	5	the	the	DET
fcis-32169	121	6	mtfnet	mtfnet	NOUN
fcis-32169	121	7	model	model	NOUN
fcis-32169	121	8	on	on	ADP
fcis-32169	121	9	the	the	DET
fcis-32169	121	10	daic	daic	PROPN
fcis-32169	121	11	-	-	PUNCT
fcis-32169	121	12	woz	woz	PROPN
fcis-32169	121	13	dataset	dataset	PROPN
fcis-32169	121	14	model	model	NOUN
fcis-32169	121	15	f1score	f1score	PROPN
fcis-32169	121	16	precision	precision	PROPN
fcis-32169	121	17	recall	recall	NOUN
fcis-32169	121	18	accuracy	accuracy	NOUN
fcis-32169	121	19	tcn	tcn	NOUN
fcis-32169	121	20	(	(	PUNCT
fcis-32169	121	21	all	all	ADV
fcis-32169	121	22	)	)	PUNCT
fcis-32169	121	23	0.68	0.68	NUM
fcis-32169	121	24	0.71	0.71	NUM
fcis-32169	121	25	0.66	0.66	NUM
fcis-32169	121	26	0.70	0.70	NUM
fcis-32169	121	27	lstm	lstm	NOUN
fcis-32169	121	28	(	(	PUNCT
fcis-32169	121	29	all	all	ADV
fcis-32169	121	30	)	)	PUNCT
fcis-32169	121	31	0.71	0.71	NUM
fcis-32169	121	32	0.78	0.78	NUM
fcis-32169	121	33	0.66	0.66	NUM
fcis-32169	121	34	0.72	0.72	NUM
fcis-32169	121	35	tcn	tcn	NOUN
fcis-32169	121	36	(	(	PUNCT
fcis-32169	121	37	sentence	sentence	NOUN
fcis-32169	121	38	)	)	PUNCT
fcis-32169	121	39	0.72	0.72	NUM
fcis-32169	121	40	0.75	0.75	NUM
fcis-32169	121	41	0.68	0.68	NUM
fcis-32169	121	42	0.74	0.74	NUM
fcis-32169	121	43	lstm	lstm	NOUN
fcis-32169	121	44	(	(	PUNCT
fcis-32169	121	45	sentence	sentence	NOUN
fcis-32169	121	46	)	)	PUNCT
fcis-32169	121	47	0.74	0.74	NUM
fcis-32169	121	48	0.78	0.78	NUM
fcis-32169	121	49	0.70	0.70	NUM
fcis-32169	121	50	0.76	0.76	NUM
fcis-32169	121	51	bilstm	bilstm	NOUN
fcis-32169	121	52	-	-	PUNCT
fcis-32169	121	53	gru[19	gru[19	NOUN
fcis-32169	121	54	]	]	X
fcis-32169	121	55	0.83	0.83	NUM
fcis-32169	121	56	0.84	0.84	NUM
fcis-32169	121	57	0.82	0.82	NUM
fcis-32169	121	58	0.84	0.84	NUM
fcis-32169	121	59	mtfnet	mtfnet	NOUN
fcis-32169	121	60	0.85	0.85	NUM
fcis-32169	121	61	0.86	0.86	NUM
fcis-32169	121	62	0.84	0.84	NUM
fcis-32169	121	63	0.86	0.86	NUM
fcis-32169	121	64	65	65	NUM
fcis-32169	121	65	table	table	NOUN
fcis-32169	121	66	3	3	NUM
fcis-32169	121	67	.	.	PUNCT
fcis-32169	121	68	ablation	ablation	NOUN
fcis-32169	121	69	experiment	experiment	NOUN
fcis-32169	121	70	results	result	VERB
fcis-32169	121	71	model	model	NOUN
fcis-32169	121	72	f1score	f1score	PROPN
fcis-32169	121	73	precision	precision	NOUN
fcis-32169	121	74	recall	recall	NOUN
fcis-32169	121	75	accuracy	accuracy	NOUN
fcis-32169	121	76	tcn	tcn	NOUN
fcis-32169	121	77	(	(	PUNCT
fcis-32169	121	78	all	all	ADV
fcis-32169	121	79	)	)	PUNCT
fcis-32169	121	80	0.74	0.74	NUM
fcis-32169	121	81	0.78	0.78	NUM
fcis-32169	121	82	0.70	0.70	NUM
fcis-32169	121	83	0.76	0.76	NUM
fcis-32169	121	84	lstm	lstm	NOUN
fcis-32169	121	85	(	(	PUNCT
fcis-32169	121	86	all	all	ADV
fcis-32169	121	87	)	)	PUNCT
fcis-32169	121	88	0.81	0.81	NUM
fcis-32169	121	89	0.82	0.82	NUM
fcis-32169	121	90	0.80	0.80	NUM
fcis-32169	121	91	0.82	0.82	NUM
fcis-32169	121	92	tcn	tcn	NOUN
fcis-32169	121	93	(	(	PUNCT
fcis-32169	121	94	sentence	sentence	NOUN
fcis-32169	121	95	)	)	PUNCT
fcis-32169	121	96	0.83	0.83	NUM
fcis-32169	121	97	0.84	0.84	NUM
fcis-32169	121	98	0.82	0.82	NUM
fcis-32169	121	99	0.84	0.84	NUM
fcis-32169	121	100	lstm	lstm	NOUN
fcis-32169	121	101	(	(	PUNCT
fcis-32169	121	102	sentence	sentence	NOUN
fcis-32169	121	103	)	)	PUNCT
fcis-32169	121	104	0.82	0.82	NUM
fcis-32169	121	105	0.83	0.83	NUM
fcis-32169	121	106	0.81	0.81	NUM
fcis-32169	121	107	0.83	0.83	NUM
fcis-32169	121	108	mtfnet	mtfnet	NOUN
fcis-32169	121	109	0.85	0.85	NUM
fcis-32169	121	110	0.86	0.86	NUM
fcis-32169	121	111	0.84	0.84	NUM
fcis-32169	121	112	0.86	0.86	NUM
fcis-32169	121	113	5	5	NUM
fcis-32169	121	114	.	.	PUNCT
fcis-32169	122	1	conclusion	conclusion	NOUN
fcis-32169	122	2	this	this	DET
fcis-32169	122	3	paper	paper	NOUN
fcis-32169	122	4	addresses	address	VERB
fcis-32169	122	5	the	the	DET
fcis-32169	122	6	challenges	challenge	NOUN
fcis-32169	122	7	of	of	ADP
fcis-32169	122	8	insufficient	insufficient	ADJ
fcis-32169	122	9	semantic	semantic	ADJ
fcis-32169	122	10	representation	representation	NOUN
fcis-32169	122	11	in	in	ADP
fcis-32169	122	12	long	long	ADJ
fcis-32169	122	13	sequences	sequence	NOUN
fcis-32169	122	14	and	and	CCONJ
fcis-32169	122	15	limited	limited	ADJ
fcis-32169	122	16	modal	modal	ADJ
fcis-32169	122	17	interaction	interaction	NOUN
fcis-32169	122	18	in	in	ADP
fcis-32169	122	19	multimodal	multimodal	NOUN
fcis-32169	122	20	depression	depression	NOUN
fcis-32169	122	21	recognition	recognition	NOUN
fcis-32169	122	22	by	by	ADP
fcis-32169	122	23	proposing	propose	VERB
fcis-32169	122	24	the	the	DET
fcis-32169	122	25	multimodal	multimodal	ADJ
fcis-32169	122	26	temporal	temporal	ADJ
fcis-32169	122	27	fusion	fusion	NOUN
fcis-32169	122	28	network	network	NOUN
fcis-32169	122	29	(	(	PUNCT
fcis-32169	122	30	mtfnet	mtfnet	NOUN
fcis-32169	122	31	)	)	PUNCT
fcis-32169	122	32	.	.	PUNCT
fcis-32169	123	1	the	the	DET
fcis-32169	123	2	model	model	NOUN
fcis-32169	123	3	takes	take	VERB
fcis-32169	123	4	text	text	NOUN
fcis-32169	123	5	,	,	PUNCT
fcis-32169	123	6	audio	audio	NOUN
fcis-32169	123	7	,	,	PUNCT
fcis-32169	123	8	and	and	CCONJ
fcis-32169	123	9	facial	facial	ADJ
fcis-32169	123	10	landmarks	landmark	NOUN
fcis-32169	123	11	as	as	ADP
fcis-32169	123	12	inputs	input	NOUN
fcis-32169	123	13	.	.	PUNCT
fcis-32169	124	1	it	it	PRON
fcis-32169	124	2	first	first	ADV
fcis-32169	124	3	segments	segment	NOUN
fcis-32169	124	4	long	long	ADV
fcis-32169	124	5	interview	interview	VERB
fcis-32169	124	6	sequences	sequence	NOUN
fcis-32169	124	7	into	into	ADP
fcis-32169	124	8	sentence	sentence	NOUN
fcis-32169	124	9	-	-	PUNCT
fcis-32169	124	10	level	level	NOUN
fcis-32169	124	11	units	unit	NOUN
fcis-32169	124	12	and	and	CCONJ
fcis-32169	124	13	performs	perform	VERB
fcis-32169	124	14	preliminary	preliminary	ADJ
fcis-32169	124	15	alignment	alignment	NOUN
fcis-32169	124	16	by	by	ADP
fcis-32169	124	17	extracting	extract	VERB
fcis-32169	124	18	sentence	sentence	NOUN
fcis-32169	124	19	-	-	PUNCT
fcis-32169	124	20	level	level	NOUN
fcis-32169	124	21	features	feature	NOUN
fcis-32169	124	22	from	from	ADP
fcis-32169	124	23	each	each	DET
fcis-32169	124	24	modality	modality	NOUN
fcis-32169	124	25	via	via	ADP
fcis-32169	124	26	lstms	lstms	NOUN
fcis-32169	124	27	.	.	PUNCT
fcis-32169	125	1	subsequently	subsequently	ADV
fcis-32169	125	2	,	,	PUNCT
fcis-32169	125	3	a	a	DET
fcis-32169	125	4	sentence	sentence	NOUN
fcis-32169	125	5	-	-	PUNCT
fcis-32169	125	6	level	level	NOUN
fcis-32169	125	7	dynamic	dynamic	ADJ
fcis-32169	125	8	multimodal	multimodal	NOUN
fcis-32169	125	9	split	split	VERB
fcis-32169	125	10	attention	attention	NOUN
fcis-32169	125	11	fusion	fusion	NOUN
fcis-32169	125	12	module	module	NOUN
fcis-32169	125	13	is	be	AUX
fcis-32169	125	14	introduced	introduce	VERB
fcis-32169	125	15	.	.	PUNCT
fcis-32169	126	1	this	this	DET
fcis-32169	126	2	module	module	NOUN
fcis-32169	126	3	employs	employ	VERB
fcis-32169	126	4	segmented	segment	VERB
fcis-32169	126	5	attention	attention	NOUN
fcis-32169	126	6	and	and	CCONJ
fcis-32169	126	7	learnable	learnable	ADJ
fcis-32169	126	8	modality	modality	NOUN
fcis-32169	126	9	weights	weight	VERB
fcis-32169	126	10	across	across	ADP
fcis-32169	126	11	consecutive	consecutive	ADJ
fcis-32169	126	12	segments	segment	NOUN
fcis-32169	126	13	to	to	PART
fcis-32169	126	14	achieve	achieve	VERB
fcis-32169	126	15	cross	cross	ADJ
fcis-32169	126	16	-	-	ADJ
fcis-32169	126	17	modal	modal	ADJ
fcis-32169	126	18	finegrained	finegraine	VERB
fcis-32169	126	19	interaction	interaction	NOUN
fcis-32169	126	20	and	and	CCONJ
fcis-32169	126	21	dynamic	dynamic	ADJ
fcis-32169	126	22	importance	importance	NOUN
fcis-32169	126	23	allocation	allocation	NOUN
fcis-32169	126	24	.	.	PUNCT
fcis-32169	127	1	finally	finally	ADV
fcis-32169	127	2	,	,	PUNCT
fcis-32169	127	3	it	it	PRON
fcis-32169	127	4	employs	employ	VERB
fcis-32169	127	5	bilstm	bilstm	NOUN
fcis-32169	127	6	(	(	PUNCT
fcis-32169	127	7	text	text	NOUN
fcis-32169	127	8	)	)	PUNCT
fcis-32169	127	9	and	and	CCONJ
fcis-32169	127	10	lstm	lstm	NOUN
fcis-32169	127	11	(	(	PUNCT
fcis-32169	127	12	audio	audio	ADJ
fcis-32169	127	13	,	,	PUNCT
fcis-32169	127	14	facial	facial	ADJ
fcis-32169	127	15	)	)	PUNCT
fcis-32169	127	16	for	for	ADP
fcis-32169	127	17	global	global	ADJ
fcis-32169	127	18	temporal	temporal	ADJ
fcis-32169	127	19	modeling	modeling	NOUN
fcis-32169	127	20	and	and	CCONJ
fcis-32169	127	21	classification	classification	NOUN
fcis-32169	127	22	.	.	PUNCT
fcis-32169	128	1	experimental	experimental	ADJ
fcis-32169	128	2	results	result	NOUN
fcis-32169	128	3	demonstrate	demonstrate	VERB
fcis-32169	128	4	that	that	SCONJ
fcis-32169	128	5	mtfnet	mtfnet	NOUN
fcis-32169	128	6	outperforms	outperform	NOUN
fcis-32169	128	7	tcn	tcn	PROPN
fcis-32169	128	8	,	,	PUNCT
fcis-32169	128	9	lstm	lstm	ADJ
fcis-32169	128	10	,	,	PUNCT
fcis-32169	128	11	and	and	CCONJ
fcis-32169	128	12	existing	exist	VERB
fcis-32169	128	13	comparison	comparison	NOUN
fcis-32169	128	14	models	model	NOUN
fcis-32169	128	15	on	on	ADP
fcis-32169	128	16	both	both	CCONJ
fcis-32169	128	17	the	the	DET
fcis-32169	128	18	mdd2025	mdd2025	NOUN
fcis-32169	128	19	and	and	CCONJ
fcis-32169	128	20	daic	daic	PROPN
fcis-32169	128	21	-	-	PUNCT
fcis-32169	128	22	woz	woz	PROPN
fcis-32169	128	23	datasets	dataset	NOUN
fcis-32169	128	24	.	.	PUNCT
fcis-32169	129	1	ablation	ablation	NOUN
fcis-32169	129	2	studies	study	NOUN
fcis-32169	129	3	validate	validate	VERB
fcis-32169	129	4	the	the	DET
fcis-32169	129	5	effectiveness	effectiveness	NOUN
fcis-32169	129	6	of	of	ADP
fcis-32169	129	7	segmented	segment	VERB
fcis-32169	129	8	processing	processing	NOUN
fcis-32169	129	9	and	and	CCONJ
fcis-32169	129	10	dynamic	dynamic	ADJ
fcis-32169	129	11	attention	attention	NOUN
fcis-32169	129	12	,	,	PUNCT
fcis-32169	129	13	providing	provide	VERB
fcis-32169	129	14	an	an	DET
fcis-32169	129	15	efficient	efficient	ADJ
fcis-32169	129	16	multimodal	multimodal	NOUN
fcis-32169	129	17	fusion	fusion	NOUN
fcis-32169	129	18	solution	solution	NOUN
fcis-32169	129	19	for	for	ADP
fcis-32169	129	20	automatic	automatic	ADJ
fcis-32169	129	21	depression	depression	NOUN
fcis-32169	129	22	detection	detection	NOUN
fcis-32169	129	23	.	.	PUNCT
fcis-32169	130	1	acknowledgments	acknowledgment	NOUN
fcis-32169	130	2	this	this	DET
fcis-32169	130	3	research	research	NOUN
fcis-32169	130	4	was	be	AUX
fcis-32169	130	5	supported	support	VERB
fcis-32169	130	6	by	by	ADP
fcis-32169	130	7	the	the	DET
fcis-32169	130	8	postgraduate	postgraduate	ADJ
fcis-32169	130	9	practical	practical	ADJ
fcis-32169	130	10	innovation	innovation	NOUN
fcis-32169	130	11	project	project	NOUN
fcis-32169	130	12	of	of	ADP
fcis-32169	130	13	taiyuan	taiyuan	PROPN
fcis-32169	130	14	normal	normal	ADJ
fcis-32169	130	15	university	university	NOUN
fcis-32169	130	16	(	(	PUNCT
fcis-32169	130	17	grant	grant	VERB
fcis-32169	130	18	no	no	INTJ
fcis-32169	130	19	.	.	PUNCT
fcis-32169	131	1	syyjsyc-2580	syyjsyc-2580	NOUN
fcis-32169	131	2	)	)	PUNCT
fcis-32169	131	3	.	.	PUNCT
fcis-32169	132	1	references	reference	NOUN
fcis-32169	132	2	[	[	X
fcis-32169	132	3	1	1	NUM
fcis-32169	132	4	]	]	PUNCT
fcis-32169	132	5	depression	depression	NOUN
fcis-32169	132	6	who	who	PRON
fcis-32169	132	7	.	.	PUNCT
fcis-32169	133	1	other	other	ADJ
fcis-32169	133	2	common	common	ADJ
fcis-32169	133	3	mental	mental	ADJ
fcis-32169	133	4	disorders	disorder	NOUN
fcis-32169	133	5	:	:	PUNCT
fcis-32169	133	6	global	global	ADJ
fcis-32169	133	7	health	health	NOUN
fcis-32169	133	8	estimates[j	estimates[j	PROPN
fcis-32169	133	9	]	]	PUNCT
fcis-32169	133	10	.	.	PUNCT
fcis-32169	134	1	geneva	geneva	PROPN
fcis-32169	134	2	:	:	PUNCT
fcis-32169	134	3	world	world	PROPN
fcis-32169	134	4	health	health	PROPN
fcis-32169	134	5	organization	organization	NOUN
fcis-32169	134	6	,	,	PUNCT
fcis-32169	134	7	2017	2017	NUM
fcis-32169	134	8	,	,	PUNCT
fcis-32169	134	9	24(1	24(1	NUM
fcis-32169	134	10	)	)	PUNCT
fcis-32169	134	11	.	.	PUNCT
fcis-32169	135	1	[	[	X
fcis-32169	135	2	2	2	X
fcis-32169	135	3	]	]	PUNCT
fcis-32169	135	4	wittchen	wittchen	SCONJ
fcis-32169	135	5	h	h	NOUN
fcis-32169	135	6	u	u	PROPN
fcis-32169	135	7	,	,	PUNCT
fcis-32169	135	8	jacobi	jacobi	PROPN
fcis-32169	135	9	f	f	PROPN
fcis-32169	135	10	,	,	PUNCT
fcis-32169	135	11	rehm	rehm	PROPN
fcis-32169	135	12	j	j	PROPN
fcis-32169	135	13	,	,	PUNCT
fcis-32169	135	14	et	et	PROPN
fcis-32169	135	15	al	al	PROPN
fcis-32169	135	16	.	.	PUNCT
fcis-32169	136	1	the	the	DET
fcis-32169	136	2	size	size	NOUN
fcis-32169	136	3	and	and	CCONJ
fcis-32169	136	4	burden	burden	NOUN
fcis-32169	136	5	of	of	ADP
fcis-32169	136	6	mental	mental	ADJ
fcis-32169	136	7	disorders	disorder	NOUN
fcis-32169	136	8	and	and	CCONJ
fcis-32169	136	9	other	other	ADJ
fcis-32169	136	10	disorders	disorder	NOUN
fcis-32169	136	11	of	of	ADP
fcis-32169	136	12	the	the	DET
fcis-32169	136	13	brain	brain	NOUN
fcis-32169	136	14	in	in	ADP
fcis-32169	136	15	europe	europe	PROPN
fcis-32169	136	16	2010[j	2010[j	NUM
fcis-32169	136	17	]	]	PUNCT
fcis-32169	136	18	.	.	PUNCT
fcis-32169	137	1	european	european	PROPN
fcis-32169	137	2	neuropsychopharmacology	neuropsychopharmacology	PROPN
fcis-32169	137	3	,	,	PUNCT
fcis-32169	137	4	2011	2011	NUM
fcis-32169	137	5	,	,	PUNCT
fcis-32169	137	6	21(9	21(9	NOUN
fcis-32169	137	7	):	):	PUNCT
fcis-32169	137	8	655	655	NUM
fcis-32169	137	9	-	-	PUNCT
fcis-32169	137	10	679	679	NUM
fcis-32169	137	11	.	.	PUNCT
fcis-32169	138	1	[	[	X
fcis-32169	138	2	3	3	X
fcis-32169	138	3	]	]	X
fcis-32169	138	4	lim	lim	PROPN
fcis-32169	138	5	s	s	PART
fcis-32169	138	6	s	s	PROPN
fcis-32169	138	7	,	,	PUNCT
fcis-32169	138	8	vos	vos	PROPN
fcis-32169	138	9	t	t	PROPN
fcis-32169	138	10	,	,	PUNCT
fcis-32169	138	11	flaxman	flaxman	VERB
fcis-32169	138	12	a	a	PROPN
fcis-32169	138	13	d	d	NOUN
fcis-32169	138	14	,	,	PUNCT
fcis-32169	138	15	et	et	PROPN
fcis-32169	138	16	al	al	PROPN
fcis-32169	138	17	.	.	PUNCT
fcis-32169	139	1	a	a	DET
fcis-32169	139	2	comparative	comparative	ADJ
fcis-32169	139	3	risk	risk	NOUN
fcis-32169	139	4	assessment	assessment	NOUN
fcis-32169	139	5	of	of	ADP
fcis-32169	139	6	burden	burden	NOUN
fcis-32169	139	7	of	of	ADP
fcis-32169	139	8	disease	disease	NOUN
fcis-32169	139	9	and	and	CCONJ
fcis-32169	139	10	injury	injury	NOUN
fcis-32169	139	11	attributable	attributable	ADJ
fcis-32169	139	12	to	to	ADP
fcis-32169	139	13	67	67	NUM
fcis-32169	139	14	risk	risk	NOUN
fcis-32169	139	15	factors	factor	NOUN
fcis-32169	139	16	and	and	CCONJ
fcis-32169	139	17	risk	risk	NOUN
fcis-32169	139	18	factor	factor	NOUN
fcis-32169	139	19	clusters	cluster	NOUN
fcis-32169	139	20	in	in	ADP
fcis-32169	139	21	21	21	NUM
fcis-32169	139	22	regions	region	NOUN
fcis-32169	139	23	,	,	PUNCT
fcis-32169	139	24	1990–2010	1990–2010	NUM
fcis-32169	139	25	:	:	PUNCT
fcis-32169	139	26	a	a	DET
fcis-32169	139	27	systematic	systematic	ADJ
fcis-32169	139	28	analysis	analysis	NOUN
fcis-32169	139	29	for	for	ADP
fcis-32169	139	30	the	the	DET
fcis-32169	139	31	global	global	ADJ
fcis-32169	139	32	burden	burden	NOUN
fcis-32169	139	33	of	of	ADP
fcis-32169	139	34	disease	disease	NOUN
fcis-32169	139	35	study	study	NOUN
fcis-32169	139	36	2010[j	2010[j	NUM
fcis-32169	139	37	]	]	X
fcis-32169	139	38	.	.	PUNCT
fcis-32169	140	1	the	the	DET
fcis-32169	140	2	lancet	lancet	NOUN
fcis-32169	140	3	,	,	PUNCT
fcis-32169	140	4	2012	2012	NUM
fcis-32169	140	5	,	,	PUNCT
fcis-32169	140	6	380(9859	380(9859	NUM
fcis-32169	140	7	):	):	PUNCT
fcis-32169	140	8	2224	2224	NUM
fcis-32169	140	9	-	-	SYM
fcis-32169	140	10	2260	2260	NUM
fcis-32169	140	11	.	.	PUNCT
fcis-32169	141	1	[	[	X
fcis-32169	141	2	4	4	X
fcis-32169	141	3	]	]	PUNCT
fcis-32169	141	4	mathers	mather	NOUN
fcis-32169	141	5	c	c	PROPN
fcis-32169	141	6	d	d	PROPN
fcis-32169	141	7	,	,	PUNCT
fcis-32169	141	8	loncar	loncar	VERB
fcis-32169	141	9	d.	d.	PROPN
fcis-32169	141	10	projections	projection	NOUN
fcis-32169	141	11	of	of	ADP
fcis-32169	141	12	global	global	ADJ
fcis-32169	141	13	mortality	mortality	NOUN
fcis-32169	141	14	and	and	CCONJ
fcis-32169	141	15	burden	burden	NOUN
fcis-32169	141	16	of	of	ADP
fcis-32169	141	17	disease	disease	NOUN
fcis-32169	141	18	from	from	ADP
fcis-32169	141	19	2002	2002	NUM
fcis-32169	141	20	to	to	ADP
fcis-32169	141	21	2030[j	2030[j	NUM
fcis-32169	141	22	]	]	PUNCT
fcis-32169	141	23	.	.	PUNCT
fcis-32169	142	1	plos	plos	PROPN
fcis-32169	142	2	medicine	medicine	PROPN
fcis-32169	142	3	,	,	PUNCT
fcis-32169	142	4	2006	2006	NUM
fcis-32169	142	5	,	,	PUNCT
fcis-32169	142	6	3(11	3(11	NUM
fcis-32169	142	7	):	):	PUNCT
fcis-32169	142	8	e442	e442	PROPN
fcis-32169	142	9	.	.	PUNCT
fcis-32169	143	1	[	[	X
fcis-32169	143	2	5	5	NUM
fcis-32169	143	3	]	]	PUNCT
fcis-32169	143	4	world	world	NOUN
fcis-32169	143	5	health	health	NOUN
fcis-32169	143	6	organization	organization	NOUN
fcis-32169	143	7	.	.	PUNCT
fcis-32169	144	1	the	the	DET
fcis-32169	144	2	global	global	ADJ
fcis-32169	144	3	burden	burden	NOUN
fcis-32169	144	4	of	of	ADP
fcis-32169	144	5	disease	disease	NOUN
fcis-32169	144	6	:	:	PUNCT
fcis-32169	144	7	2004	2004	NUM
fcis-32169	144	8	update	update	NOUN
fcis-32169	145	1	[	[	X
fcis-32169	146	1	m	m	X
fcis-32169	146	2	]	]	X
fcis-32169	146	3	.	.	PUNCT
fcis-32169	147	1	geneva	geneva	PROPN
fcis-32169	147	2	:	:	PUNCT
fcis-32169	147	3	world	world	PROPN
fcis-32169	147	4	health	health	PROPN
fcis-32169	147	5	organization	organization	NOUN
fcis-32169	147	6	,	,	PUNCT
fcis-32169	147	7	2008	2008	NUM
fcis-32169	147	8	.	.	PUNCT
fcis-32169	148	1	[	[	X
fcis-32169	148	2	6	6	NUM
fcis-32169	148	3	]	]	SYM
fcis-32169	148	4	li	li	PROPN
fcis-32169	148	5	j	j	PROPN
fcis-32169	148	6	y	y	PROPN
fcis-32169	148	7	,	,	PUNCT
fcis-32169	148	8	li	li	PROPN
fcis-32169	148	9	j	j	PROPN
fcis-32169	148	10	,	,	PUNCT
fcis-32169	148	11	liang	liang	PROPN
fcis-32169	148	12	j	j	PROPN
fcis-32169	148	13	h	h	PROPN
fcis-32169	148	14	,	,	PUNCT
fcis-32169	148	15	et	et	PROPN
fcis-32169	148	16	al	al	PROPN
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fcis-32169	148	19	symptoms	symptom	NOUN
fcis-32169	148	20	among	among	ADP
fcis-32169	148	21	children	child	NOUN
fcis-32169	148	22	and	and	CCONJ
fcis-32169	148	23	adolescents	adolescent	NOUN
fcis-32169	148	24	in	in	ADP
fcis-32169	148	25	china	china	PROPN
fcis-32169	148	26	:	:	PUNCT
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fcis-32169	148	29	review	review	NOUN
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fcis-32169	148	34	]	]	PUNCT
fcis-32169	148	35	.	.	PUNCT
fcis-32169	149	1	medical	medical	ADJ
fcis-32169	149	2	science	science	PROPN
fcis-32169	149	3	monitor	monitor	PROPN
fcis-32169	149	4	,	,	PUNCT
fcis-32169	149	5	2019	2019	NUM
fcis-32169	149	6	,	,	PUNCT
fcis-32169	149	7	25	25	NUM
fcis-32169	149	8	:	:	SYM
fcis-32169	149	9	7459	7459	NUM
fcis-32169	149	10	–	–	PUNCT
fcis-32169	149	11	7470	7470	NUM
fcis-32169	149	12	.	.	PUNCT
fcis-32169	150	1	doi	doi	NOUN
fcis-32169	150	2	:	:	PUNCT
fcis-32169	150	3	10.12659	10.12659	NUM
fcis-32169	150	4	/	/	SYM
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fcis-32169	150	6	.	.	PUNCT
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fcis-32169	151	2	7	7	X
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fcis-32169	151	5	s	s	PROPN
fcis-32169	151	6	m	m	PROPN
fcis-32169	151	7	,	,	PUNCT
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fcis-32169	151	9	h	h	PROPN
fcis-32169	151	10	a	a	PROPN
fcis-32169	151	11	,	,	PUNCT
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fcis-32169	151	13	f	f	PROPN
fcis-32169	151	14	c	c	X
fcis-32169	151	15	,	,	PUNCT
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fcis-32169	151	21	among	among	ADP
fcis-32169	151	22	pregnant	pregnant	ADJ
fcis-32169	151	23	women	woman	NOUN
fcis-32169	151	24	screened	screen	VERB
fcis-32169	151	25	in	in	ADP
fcis-32169	151	26	obstetrics	obstetric	NOUN
fcis-32169	151	27	settings[j	settings[j	PROPN
fcis-32169	151	28	]	]	PUNCT
fcis-32169	151	29	.	.	PUNCT
fcis-32169	152	1	journal	journal	PROPN
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fcis-32169	152	3	women	woman	NOUN
fcis-32169	152	4	's	's	PART
fcis-32169	152	5	health	health	NOUN
fcis-32169	152	6	,	,	PUNCT
fcis-32169	152	7	2003	2003	NUM
fcis-32169	152	8	,	,	PUNCT
fcis-32169	152	9	12(4	12(4	NUM
fcis-32169	152	10	):	):	PUNCT
fcis-32169	152	11	373–380	373–380	NUM
fcis-32169	152	12	.	.	PUNCT
fcis-32169	153	1	doi	doi	NOUN
fcis-32169	153	2	:	:	PUNCT
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fcis-32169	154	18	depression	depression	NOUN
fcis-32169	154	19	on	on	ADP
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fcis-32169	154	25	:	:	PUNCT
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fcis-32169	154	32	the	the	DET
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fcis-32169	154	34	]	]	PUNCT
fcis-32169	154	35	.	.	PUNCT
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fcis-32169	155	7	,	,	PUNCT
fcis-32169	155	8	2003	2003	NUM
fcis-32169	155	9	,	,	PUNCT
fcis-32169	155	10	6(4	6(4	NUM
fcis-32169	155	11	):	):	PUNCT
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fcis-32169	155	13	.	.	PUNCT
fcis-32169	156	1	doi	doi	NOUN
fcis-32169	156	2	:	:	PUNCT
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fcis-32169	156	8	-	-	PUNCT
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fcis-32169	156	10	-	-	SYM
fcis-32169	156	11	6	6	NUM
fcis-32169	156	12	.	.	PUNCT
fcis-32169	157	1	[	[	X
fcis-32169	157	2	9	9	NUM
fcis-32169	157	3	]	]	PUNCT
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fcis-32169	157	5	y	y	PROPN
fcis-32169	157	6	,	,	PUNCT
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fcis-32169	157	9	,	,	PUNCT
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fcis-32169	157	11	/	/	SYM
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fcis-32169	157	13	m	m	PROPN
fcis-32169	157	14	,	,	PUNCT
fcis-32169	157	15	necho	necho	PROPN
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fcis-32169	157	17	prevalence	prevalence	NOUN
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fcis-32169	157	21	depression	depression	NOUN
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fcis-32169	157	23	old	old	ADJ
fcis-32169	157	24	age	age	NOUN
fcis-32169	157	25	:	:	PUNCT
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fcis-32169	157	28	review	review	NOUN
fcis-32169	157	29	and	and	CCONJ
fcis-32169	157	30	meta	meta	NOUN
fcis-32169	157	31	-	-	PUNCT
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fcis-32169	157	33	]	]	PUNCT
fcis-32169	157	34	.	.	PUNCT
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fcis-32169	170	8	:	:	SYM
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fcis-32169	182	48	(	(	PUNCT
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